Senior Consultant, Forward Deployed AI Engineer

Baringa

ABOUT BARINGA  Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms.   Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism with the commercial and leadership skills to grow and shape our practice.  This is a role for someone who thrives at the intersection of client advisory, technical architecture and hands-on delivery leadership – and who has a genuine passion for bringing AI solutions to production at scale.   Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions.   What you will be doing  As a Senior Manager in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients.   Although we do not expect you to be an expert in all of the below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflects that.   Key responsibilities span the following areas.   Engagement Leadership:  * Own and lead end-to-end delivery of complex AI and technology consulting engagements, taking accountability for scope, quality, risk and client outcomes.  * Lead and resource multi-disciplinary delivery teams including engineers, data scientists and consultants providing clear direction, technical oversight and people development.  * Manage engagement resourcing: forecast team requirements, work with practice leadership to staff engagements, and develop the talent pipeline through mentoring and support of junior practitioners.  * Proactively identify and manage delivery risks in complex stakeholder environments, escalating appropriately and maintaining client confidence throughout.  * Communicate clearly to both technical teams and senior client stakeholders, translating complexity into actionable insight and decisive recommendation.  * Conduct rigorous technical reviews and uphold engineering and delivery standards across every engagement you lead.   Business Development & Bid Support:  * Play a leading role in business development: identifying new opportunities, shaping propositions, and supporting or leading bids and tender responses for AI and technology engagements.  * Contribute to proposal writing, articulating Baringa’s capabilities and differentiators, including authoring technical and delivery sections of bid responses to client tenders and RFPs.  * Build and maintain strong client relationships, acting as a trusted advisor and developing opportunities for follow-on engagement.  * Support practice-level growth initiatives, including account planning, capability development, and go-to-market positioning for AI and solutions engineering services.   Technical Architecture & Delivery:  * Lead architecture design for AI-enabled platforms and cloud solutions, balancing technical excellence with delivery pragmatism and commercial realities.  * Provide hands-on technical direction where required – reviewing designs, code and delivery artefacts to maintain quality standards across the engagement.  * Champion the path from prototype to production: driving robust, scalable and secure AI deployments that go beyond proof-of-concept thinking to real business impact at scale.  * Act as a credible technical voice with client architects, CTOs and engineering leads, earning trust through depth of knowledge and a demonstrable delivery track record.  AI/ML Specialism  You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others:   Agentic AI & LLM Engineering:  * Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale.  * Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks.   Machine Learning Engineering:  * End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection.  * Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI).  Platform & Cloud Engineering:  * Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event-driven architectures and CI/CD.  * Track record of delivering production Python services and APIs; working knowledge of cloud-native application patterns and release practices.   Software Engineering:  * Production-grade Python services (FastAPI, AWS Lambda, event-driven patterns) and front-end development with React/Next.js, Material UI and SWR.  * Cloud architecture design capability across major providers; rounded understanding of database trade-offs – relational, NoSQL, graph and caching strategies.  * Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security-conscious development.   * A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation, reliability and governance as by the technology itself.   Your Skills and Experience   We're seeking a technically credible, commercially aware leader who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale – and who can inspire a team and a client with that same passion.  * 7+ years in technology consulting, software engineering or AI/ML, with at least 3 years in a senior leadership role – including direct accountability for end-to-end engagement delivery, resourcing and commercial outcomes.  * Experience supporting or leading bid and proposal activity, including writing technical and delivery sections of responses to client tenders and RFPs.  * SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering – with strong architecture and design capability across cloud, data and AI domains.  * Proven ability to build and lead high-performing delivery teams in complex stakeholder environments, with experience engaging comfortably at CTO or engineering director level.  * Clear, confident communicator – able to make the complex accessible for technical and non-technical audiences alike, and to represent Baringa’s expertise with credibility.  * Master’s degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer).  * Desirable: prior experience as a forward-deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector.  If you are excited by the opportunity to lead meaningful AI and technology engagements for major clients and thrive in a collaborative, people-first culture that values both technical rigour and human connection we would love to hear from you.  JOIN US All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further.   BARINGA PRIVACY NOTICES For UK & EU Your personal data will be retained by Baringa for up to two years, in accordance with our UK Recruitment Privacy Notice / EU Recruitment Privacy Notice, to evaluate your application and meet our legal and reporting obligations. In line with the General Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal limitations) of your personal data. For more information, please contact us at privacy@baringa.com For the USA Your personal data may be retained by Baringa for up to two years, as outlined in our Recruitment Privacy Notice (AMER & APAC), to support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and state laws, you may have the right to request access to or correction of your personal information. For further details, please contact privacy@baringa.com For Australia & Singapore Your personal data will be retained by Baringa for up to two years, in accordance with our Recruitment Privacy Notice (AMER & APAC), to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and Singapore’s Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your personal data. For more information, please contact us at privacy@baringa.com

Mongodb

MongoDB is looking for an outstanding person to join our newly created Forward Deployed Engineering team and take on a key role in our extended R&D organization. Forward Deployed Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating cost, and inability to run on cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernisation programs. MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency and developer experience in the cloud as well as on premises. Organizations are continuously migrating workloads from these legacy applications to new platforms, often based on microservices, using MongoDB.  Such transformations are time intensive and often risky. Tooling based on generative AI promises to accelerate these transformations in a way never seen before. Forward Deployed Engineering is responsible for exploring the possibilities of Generative AI  technologies and providing invaluable feedback to MongoDB’s R&D teams to drive future capabilities of MongoDB and the MongoDB ecosystem. Application Modernization Engineers will work alongside project teams that are executing Application Modernisation projects with customers. The successful candidate will be responsible for evaluation, build, and applying tools in modernization  projects, facilitating the usage of such tools and processes across the different project teams, identifying opportunities for tooling deployment, selecting potential 3rd party tools, contributing to the development of tooling prototypes and helping to shape the product roadmap. OUR IDEAL CANDIDATE WILL HAVE * 4+ years of experience as a field engineer or professional services consultant or full stack developer working directly with Enterprise clients  * Proficiency in Java or C#, and some familiarity with common database access patterns and frameworks in one or more of these languages * Strong knowledge about enterprise-scale software architectures, application development methodologies, and software deployment and operations * Experience developing enterprise applications using relational databases, and employing SQL and stored procedures with Oracle, MS SQL Server, Sybase and/or PostgreSQL databases * Experience of using and developing with MongoDB and JSON based Document models is highly desirable * Problem solving skills, including the ability to collaborate across disciplines and teams to come up with creative solutions to technical and business challenges * Willingness to dive into a complex domain, ask the right questions, and bring new software tools and technologies to the table to solve customer problems * Great communication skills (both spoken and written), within the team and in customer meetings * Good understanding of Generative AI concepts, tools, and services. Any experience to build new applications/tools using Generative AI is a big plus. That includes Cursor, Claude Code, Gemini, and OpenAI APIs * And finally, a strong interest in how AI supported toolchains can improve application development POSITION EXPECTATIONS * Contribute to customer application modernization initiatives at any or all phases of the application lifecycle: assessment and analysis; planning and design; data modeling; application code conversion, development, test and build; integration and release configuration, production operations, application optimisation, and best practices adoption * Test drive MongoDB migration products to deliver on customer use cases and drive adoption of the product. Deliver concise feedback to the rest of the development organisation * Work closely with Product and Engineering teams to influence the direction of the MongoDB product roadmap * Personally execute POCs including developing or extending existing tools when necessary and appropriate for customer success, with an eye towards reusability and eventual integration with our products. These are often on premises at client locations * Maintain a broad and deep technical understanding of the product line and the underlying technologies and protocols * Work as part of a wider delivery team comprising consulting engineers from MongoDB Professional Services, project managers, and account teams * Assist sales teams in evaluating opportunities with prospects and customers * Willingness to work on site with customers for 7 days per month, which includes regional travel (within Europe) SUCCESS MEASURES The Senior Forward Deployed Engineer will be successful in this role when they can execute the following strategic tasks/responsibilities: * Become an expert level user of MongoDB, and our tools current migration products * Develop a playbook for customer application modernization engagements, in collaboration with other MongoDB Engineers, Product Management and Engineering * Communicate complex technical proposals simply and convincingly to a wide range of audiences * Provide unique insight into customer needs, product requirements and strategic opportunities by contributing experience from the field * Gain the reputation as a trusted advisor with our field teams and customers * Contribute to the success of customer application migration initiatives that they support ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. REQ ID: 4263294981

Mongodb

MongoDB is looking for an outstanding person to join our newly created Forward Deployed Engineering team and take on a key role in our extended R&D organization. Forward Deployed Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating cost, and inability to run on cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernisation programs. MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency and developer experience in the cloud as well as on premises. Organizations are continuously migrating workloads from these legacy applications to new platforms, often based on microservices, using MongoDB.  Such transformations are time intensive and often risky. Tooling based on generative AI promises to accelerate these transformations in a way never seen before. Forward Deployed Engineering is responsible for exploring the possibilities of Generative AI  technologies and providing invaluable feedback to MongoDB’s R&D teams to drive future capabilities of MongoDB and the MongoDB ecosystem. Application Modernization Engineers will work alongside project teams that are executing Application Modernisation projects with customers. The successful candidate will be responsible for evaluation, build, and applying tools in modernization  projects, facilitating the usage of such tools and processes across the different project teams, identifying opportunities for tooling deployment, selecting potential 3rd party tools, contributing to the development of tooling prototypes and helping to shape the product roadmap. OUR IDEAL CANDIDATE WILL HAVE * 4+ years of experience as a field engineer or professional services consultant or full stack developer working directly with Enterprise clients  * Proficiency in Java or C#, and some familiarity with common database access patterns and frameworks in one or more of these languages * Strong knowledge about enterprise-scale software architectures, application development methodologies, and software deployment and operations * Experience developing enterprise applications using relational databases, and employing SQL and stored procedures with Oracle, MS SQL Server, Sybase and/or PostgreSQL databases * Experience of using and developing with MongoDB and JSON based Document models is highly desirable * Problem solving skills, including the ability to collaborate across disciplines and teams to come up with creative solutions to technical and business challenges * Willingness to dive into a complex domain, ask the right questions, and bring new software tools and technologies to the table to solve customer problems * Great communication skills (both spoken and written), within the team and in customer meetings * Good understanding of Generative AI concepts, tools, and services. Any experience to build new applications/tools using Generative AI is a big plus. That includes Cursor, Claude Code, Gemini, and OpenAI APIs * And finally, a strong interest in how AI supported toolchains can improve application development POSITION EXPECTATIONS * Contribute to customer application modernization initiatives at any or all phases of the application lifecycle: assessment and analysis; planning and design; data modeling; application code conversion, development, test and build; integration and release configuration, production operations, application optimisation, and best practices adoption * Test drive MongoDB migration products to deliver on customer use cases and drive adoption of the product. Deliver concise feedback to the rest of the development organisation * Work closely with Product and Engineering teams to influence the direction of the MongoDB product roadmap * Personally execute POCs including developing or extending existing tools when necessary and appropriate for customer success, with an eye towards reusability and eventual integration with our products. These are often on premises at client locations * Maintain a broad and deep technical understanding of the product line and the underlying technologies and protocols * Work as part of a wider delivery team comprising consulting engineers from MongoDB Professional Services, project managers, and account teams * Assist sales teams in evaluating opportunities with prospects and customers * Willingness to work on site with customers for 7 days per month, which includes regional travel (within Europe) SUCCESS MEASURES The Senior Forward Deployed Engineer will be successful in this role when they can execute the following strategic tasks/responsibilities: * Become an expert level user of MongoDB, and our tools current migration products * Develop a playbook for customer application modernization engagements, in collaboration with other MongoDB Engineers, Product Management and Engineering * Communicate complex technical proposals simply and convincingly to a wide range of audiences * Provide unique insight into customer needs, product requirements and strategic opportunities by contributing experience from the field * Gain the reputation as a trusted advisor with our field teams and customers * Contribute to the success of customer application migration initiatives that they support ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. REQ ID: 4263294981