Senior AI Engineer
Elsevier
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Benefits offered by this job
Job summary
Elsevier is seeking a Senior Software Engineer / Senior AI Engineer to drive development of intelligent systems within embedded innovation squads. You will design, implement, and ship AI-enabled software, collaborating with stakeholders to translate requirements into robust solutions.
Lead prototypes, contribute to observability, and mentor junior engineers while working in a hybrid environment. The role emphasizes production-grade code, scalable architectures, and cross-functional collaboration.
Qualifications
- BS in Engineering, Computer Science, or equivalent.
- Experience with AI-enabled or data-intensive systems is desirable.
- Ability to work autonomously in a defined problem and deliver in short cycles.
Responsibilities
- Build prototypes and proofs of concept and ship AI solutions to production within defined technical approach.
- Implement and test tool use, retrieval pipelines, and agent workflows.
- Contribute to evaluation, observability and guardrails for agentic systems with logging and alerting.
- Instrument solutions to capture outcome data against baselines.
- Integrate AI capabilities into existing enterprise workflows and systems.
- Interface with peers to finalise requirements and write detailed specifications.
- Translate product requirements into software designs with host-function stakeholders.
- Complete moderately complex bug fixes and flag risks early.
- Implement CI/CD, modern SDLC, and code reviews.
- Maintain high code quality and documentation for reuse.
- Operate across Agile/Waterfall environments and pair-program with squad members.
- Mentor junior engineers and promote best practices.
- Stay updated on technology developments and adapt responsibilities.
Skills
Education
Job description
you excited about building intelligent systems powered by innovative AI technologies? Do you enjoy designing models that turn complex data into impactful solutions?
Embedded Innovation Teams are cross-functional squads embedded within our segments to rapidly turn internal AI experimentation into validated, reusable solutions, building the capabilities we need to deliver customer value and growth. We work problem-first rather than tool-first, directly inside segment and function teams, improving the internal workflows that help our people deliver better outcomes for customers, faster.
you excited about building intelligent systems powered by innovative AI technologies? Do you enjoy designing models that turn complex data into impactful solutions?
Embedded Innovation Teams are cross-functional squads embedded within our segments to rapidly turn internal AI experimentation into validated, reusable solutions, building the capabilities we need to deliver customer value and growth. We work problem-first rather than tool-first, directly inside segment and function teams, improving the internal workflows that help our people deliver better outcomes for customers, faster.
As a Senior Software / Senior AI Engineer, you will be an experienced member of an embedded Innovation Squad, taking on difficult research, design, and software development assignments within the squad's product area. Working under the guidance of more senior members of the squad, you will provide direct input to project plans, schedules and delivery approach, and perform software design across multiple components as we turn AI experimentation into validated, reusable solutions.
You will work with others to talk to internal stakeholders and end users in the host function, translating their requests into workable solutions. You will write and review specifications, complete complex bug fixes, and help embed coding best practices and code reviews. You are also developing your skills as a mentor, supporting the growth of more junior engineers through pair programming and everyday collaboration.
- Build prototypes and proofs of concept and ship agentic AI solutions to production standard within a defined technical approach.
- Implement and test tool use, retrieval pipelines, and agent workflows.
- Contribute to evaluation, observability and guardrails for agentic systems, identifying operational requirements for logging, instrumentation and alerting.
- Instrument solutions to capture outcome data against established baselines.
- Integrate AI capabilities into existing enterprise workflows and systems.
- Interface with technical peers and team members to finalise requirements and write and review portions of detailed specifications for complex system components.
- Translate product requirements into software designs, working alongside host-function stakeholders to ensure the build fits real workflows, not assumed ones.
- Complete moderately complex bug fixes and flag technical risks and blockers early.
- Implement continuous integration, delivery, and deployment practices, and apply coding best practices and code reviews.
- Maintain high code quality and documentation, and build solutions for reuse, contributing to patterns, reference implementations, and starter kits so work done in one function can be picked up by another.
- Operate across various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.
- Pair-program with squad members, and support handover and capability-building in the host function so solutions are owned and operable after the squad moves on.
- Develop your skills in mentoring less senior engineers on development methodologies and optimisation techniques.
- Keep abreast of new technology developments and take on related responsibilities as the squad's needs evolve.
- Engineering experience: 4+ Years of software engineering experience, ideally including exposure to AI-enabled or data-intensive systems.
- Education: BS in Engineering, Computer Science, or equivalent.
- Ways of working: Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense, and delivering in short, time-boxed cycles where validated outcomes matter more than perfect solutions.
- Agentic AI / LLMs: Building RAG pipelines, tool-augmented agents and agentic workflows; familiar with prompt engineering, context management, evaluation and observability.
- Agent fundamentals: Understands how agents use memory, tools, and retrieval to complete multi-step tasks.
- Software design: Able to design across multiple components and translate product requirements into workable software designs, not just implement a defined spec.
- Specifications: Able to write and review portions of detailed specifications for complex system components.
- Enterprise integration: Integrating AI into existing systems via APIs and data pipelines.
- Cloud: AWS, Azure, or GCP.
- Delivery: CI/CD, modern SDLC, TDD, and code review.
- Data: Working with relational, columnar, and vector stores, grounded in sound data-modelling principles.
- Languages: Python, Java, TypeScript/JavaScript, SQL, and relevant AI SDKs.
- Mentoring: Developing skills in mentoring engineers through pair programming and day-to-day collaboration.
- Communication: Clear written and verbal communication with technical peers and stakeholders.
- Measurement: Instrumenting solutions to capture usage, productivity, and quality metrics against established baselines.
Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
- Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Comprehensive Pension Plan
- Generous vacation entitlement and option for sabbatical leave
- Maternity, Paternity, Adoption, and Family Care Leave
- Personal Choice budget
- Internal communities and networks
- Various employee discounts
- Recruitment introduction reward
- Employee Assistance Program (global)
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.
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