{"id":4225977,"url":"https://alion.io/job/gsk-director-data-agentic-ai-engineer","title":"Director, Data & Agentic AI Engineer","company":{"id":6649,"name":"GSK","domain":"gsk.com","url":"https://alion.io/company/gsk","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":81,"ghost_share":0,"stale_share":0.58,"repost_share":0.037,"time_to_fill_p50_days":16,"computed_at":"2026-11-15T07:52:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Databricks","optional":true},{"name":"ETL/ELT","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-11T00:00:00Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-15T02:15:25Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Purpose:\nGSK R&D and Digital & Tech's collective goal is to deliver GSK impact, including the acceleration of the discovery and development of medicines and vaccines to patients. The Labs and CMC Tech function is central to this mission, driving the reimagining and business transformation of our global laboratory and CMC processes. We are actively transitioning from managing raw scientific data to generating structural scientific knowledge-the foundation for how R&D will discover future medicines in a technology-enabled ecosystem.\nThe Labs CMC Data, Agentic and Knowledge Engineering (DAKE) group architects the data, agentic and knowledge foundations upon which critical R&D processes and scientific workflows depend. Crucially, our operating model relies on a hybrid workforce: AI agents function as \"digital workers\" to execute hands-on engineering tasks. They generate pipelines, test and deploy them, monitor them in production and remediate failures.\nReporting into the Director of Data and Agentic AI Engineering (G5), the Associate Director, Data & Agentic AI Engineering, leads the design of production data systems for a team and its domains within Labs & CMC. The role defines the architectural, quality, and governance standards the team and its digital workers apply, leads the team's AI-grade data infrastructure, and mentors junior and mid-level engineers.\nKey Responsibilities\nDomain-Level Data and Agentic Engineering\nDesign and build production data pipelines for your specific Labs and CMC domain, serving multiple downstream scientific consumers.\nImplement, enforce and extend our team's patterns for agent-generated work, defining exactly what digital workers build and remediate autonomously versus what requires human review within your domain.\nIntegrate digital workers into your team's specific orchestration and observability workflows, applying clear guardrails, tool designs, and human-in-the-loop controls.\nLead the response to significant data quality incidents within your team's purview, from initial detection through to permanent resolution.\nContext & Semantics Layer\nSet the context standards for the team's Labs & CMC domains: how definitions, contracts, classification and lineage are captured in the governed context layer, so humans and digital workers can rely on them.\nActively contribute to the broader Labs and CMC context layer by feeding your team's hands-on operational experience upward to evolve the platform.\nData Quality & Governance\nExecute data quality and governance standards for your team's domains, encoding them directly into the context layer so both humans and digital workers apply them by default.\nLead local data quality initiatives to achieve measurable outcomes, such as reduced error rates, improved audit readiness, and better downstream AI performance.\nAI Data Infrastructure & Lifecycle\nExtend our AI-grade data infrastructure for your team's specific AI system needs, including novel retrieval architectures, improved real-time data flows, and smart evaluation datasets.\nManage the data lifecycle for AI systems within your domain, including versioning, drift monitoring, and the governance of AI artefacts.\nPlatform Engineering & Mentorship\nDesign cloud data infrastructure for your team's domains, improve our Infrastructure as Code (IaC) and its deployment reliability.\nBuild shared platform components used by multiple engineers and digital workers to reduce setup time for new Labs and CMC data projects.\nSet and enforce the code and documentation quality standards for your team, written explicitly for a hybrid workforce of humans and digital workers\nMentor junior and mid-level engineers through pairing, code review, and direct feedback to visibly improve their capability and independence.\nRequired Qualifications and Experience\nEducation\nBachelor's degree in Computer Science, Data Engineering or a related field, or equivalent practical experience.\n8+ years of data engineering experience, including significant time leading the design and operation of complex production data systems.\nDeep expertise with modern warehouses or lakehouses, orchestration and transformation frameworks, and batch and streaming architectures.\nDemonstrated experience designing and operating AI agents or substantial LLM-powered tools inside data engineering workflows, including tool design, evaluation, observability and human-in-the-loop controls.\nExperience leading the design of AI-grade data infrastructure for production AI systems, including evaluation datasets, retrieval architectures and real-time data flows.\nExperience leading data lifecycle management for AI systems, including versioning, drift monitoring and governance of AI artefacts.\nA track record of defining data quality and governance standards for a team or domain that others adopted, with measurable outcomes.\nExperience leading cloud data infrastructure design with infrastructure as code.\nPreferred Experience\nTechnical lead for one or more data platforms or significant domains, from first build through to scale.\nExperience with catalogue, metadata, semantic or lineage infrastructure that AI systems consume.\nExperience working within highly regulated industries, such as life sciences, where strict data integrity and auditability are non-negotiable mandates.\n Skills\nComputer Programming, Data Analysis, Data Architecture Development, Databricks Unified Data Analytics Platform, Data Engineering, Data Governance, Data Ingestion, Data Integration, Data Migrations, Data Modeling, Data Transformation, ETL Development, Performance Tuning, Structured Query Language (SQL)Why GSK?\nUniting science, technology and talent to get ahead of disease together.\nGSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.\nPeople and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.\nInclusion at GSK:\nAs an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.\nPlease contact our Recruitment Team at  to discuss your needs.\nImportant notice to Employment businesses/ Agencies\nGSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.\nIt has come to our attention that the names of GlaxoSmithKline or GSK or our group companies are being used in connection with bogus job advertisements or through unsolicited emails asking candidates to make some payments for recruitment opportunities and interview. Please be advised that such advertisements and emails are not connected with the GlaxoSmithKline group in any way.\nGlaxoSmithKline does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection with recruitment with any GlaxoSmithKline (or GSK) group company at any worldwide location. Even if they claim that the money is refundable.\nIf you come across unsolicited email from email addresses not ending in gsk.com or job advertisements which state that you should contact an email address that does not end in “gsk.com”, you should disregard the same and inform us by emailing , so that we can confirm to you if the job is genuine.","description_format":"text","description_chars":8773,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Vaccines","Oncology Therapeutics","Infectious Disease Therapeutics"],"lifecycle":[{"event":"open","at":"2026-11-13T07:51:57Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":16,"reasons":["conf:5","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-15T07:52:55Z"},"pay":null,"html_url":"https://alion.io/job/gsk-director-data-agentic-ai-engineer","json_url":"https://alion.io/job/gsk-director-data-agentic-ai-engineer.json","meta":{"generated_at":"2026-11-15T18:26:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":11287,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6649},"rest":"https://alion.io/mcp/rest/get_company?id=6649"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgsk-director-data-agentic-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgsk-director-data-agentic-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgsk-director-data-agentic-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/gsk-director-data-agentic-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgsk-director-data-agentic-ai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4225977}},{"tool":"search_jobs","arguments":{"company":"gsk.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4225977},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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