Lead AI Engineer

Description Join GlobalLogic's Architects Team within the Healthcare Business Unit, supporting clients across the EMEA region. This strategic role focuses on engaging new clients, solving real-world healthcare challenges, and launching data-driven AI/ML projects. You will work closely with clients and internal stakeholders to translate complex business needs into impactful data science solutions. If you're passionate about applying data science in a meaningful domain and want to shape the future of healthcare, we'd love to hear from you. Requirements Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 5+ years in software engineering, technical leadership, or developer experience roles, with recent hands‑on exposure to GenAI-assisted development. Demonstrated track record of introducing new tools, practices, or methodologies across engineering teams and measuring adoption. Hands‑on proficiency with AI coding assistants and agentic dev tools (e.g., Claude Code, GitHub Copilot, Cursor, Windsurf, Cline) and ability to evaluate them critically. Solid understanding of modern SDLC practices: code review, CI/CD, test automation, requirements management, and release engineering. Working knowledge of LLM fundamentals: prompting, context management, retrieval‑augmented generation, evals, model selection, and cost/latency trade‑offs. Familiarity with MCP, agent frameworks, and integrating AI tools with existing engineering systems (Jira, GitLab/GitHub, Confluence, ALM tools). Strong communication, facilitation, and storytelling skills - comfortable presenting to engineers, architects, delivery managers, and client executives. Ability to define adoption metrics (productivity, quality, cycle time) and run structured pilots that produce defensible results. English proficiency at Upper‑Intermediate level or higher. Preferred Qualifications (Nice to Have) Experience introducing AI tooling into a regulated SDLC (IEC 62304, ISO 13485, FDA design controls, GxP, or equivalent). Familiarity with healthcare‑specific constraints on AI use: PHI handling, HIPAA, GDPR, FDA AI/ML guidance (including PCCP), and EU AI Act /MDR implications for development workflows. Prior involvement in presales, proposal writing, or client technical advisory. Experience standardizing prompts, skills, or reusable AI assets across multiple delivery teams. Background in developer advocacy, technical enablement, or internal evangelism programs. Awareness of test‑generation, code‑review, and documentation use cases that intersect with regulated traceability requirements. Job Responsibilities Lead the introduction and scaling of AI‑assisted SDLC practices across HealthTech and MedTech delivery teams. Identify, evaluate, and pilot AI tools (coding assistants, agentic systems, AI‑driven QA, documentation, and requirements tools) and produce clear go/no‑go recommendations. Define and standardize prompts, skills, playbooks, and reusable assets that teams can adopt without reinventing the wheel. Embed with project teams to coach engineers, architects, and QA on practical, day‑to‑day AI usage - moving from demos to durable workflow change. Establish adoption KPIs, run controlled pilots, collect evidence, and report measurable impact on productivity, quality, and time‑to‑delivery. Partner with delivery and engineering leadership to integrate AI tooling into existing processes (code review, test management, documentation, traceability) without breaking compliance posture. Work with InfoSec, Legal, and Compliance to ensure AI usage respects PHI/PII handling, IP, client data agreements, and regulated SDLC constraints. Support technical presales: shape AI‑in‑SDLC narratives, contribute to proposals, and present to client engineering and executive audiences. Run internal enablement: workshops, brown‑bags, office hours, and accountability‑driven adoption meetings. Contribute to GlobalLogic's healthcare‑focused AI accelerators, internal knowledge bases, and the Architects Team's shared body of practice. Track the external landscape (model releases, tooling, regulatory signals) and translate it into actionable guidance for delivery teams. Benefits Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm. Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well‑being of our consultants. We genuinely care about their health and strive to create a positive work environment. Flexible Opportunities: At GlobalLogic, we prioritize work‑life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company. DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment. #J-18808-Ljbffr