{"id":1221304,"url":"https://alion.io/job/birlasoft-gen-ai-sr-lead-2","title":"GEN AI Sr Lead","company":{"id":59310,"name":"Birlasoft","domain":"birlasoft.com","url":"https://alion.io/company/birlasoft","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","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":{"min_usd":24000,"max_usd":65000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-09-06T02:00:00Z","employer_posted_date":"2026-09-06","last_verified_at":"2026-10-20T16:18:44Z","board_verified":true,"closed_at":null,"days_open":44,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":44},"description":"Long Description\nGenerative AI Solution / Data Science Sr. Lead\nExperience: 8-10 Years\nGenAI Experience: Minimum 2 Years\nLocation: Noida, Bengaluru, Pune, Chennai, Mumbai\nNotice Period: Immediate to 30 Days\nCloud Platform: GCP (Mandatory)\nJob Summary\nWe are looking for an experienced Generative AI and Data Science professional to lead the design and development of AI-driven solutions. The candidate should have strong experience in Generative AI, Machine Learning, Large Language Models (LLMs), Data Science, and GCP technologies. The role involves solution design, stakeholder communication, technical leadership, and delivery of scalable AI solutions.\nKey Responsibilities\nDesign and develop Generative AI solutions using LLMs, NLP, RAG, and Vector Databases.\nLead architecture discussions and provide technical guidance to development teams.\nCollaborate with business and technical stakeholders to understand requirements and deliver AI solutions.\nDevelop Proof of Concepts (POCs) and support proposal and solutioning activities.\nBuild and deploy AI models in production environments.\nWork on AI solution scalability, performance, and reliability.\nGuide teams in implementing solutions using Python, FastAPI, Flask, SQL, and JavaScript.\nStay updated with the latest advancements in GenAI and Data Science technologies.\nMentor team members and drive best practices across projects.\nEnsure successful delivery of AI initiatives from design to deployment.\nRequired Skills\nStrong experience in Generative AI, Machine Learning, and Data Science.\nHands-on experience with Large Language Models (LLMs).\nExperience with Retrieval-Augmented Generation (RAG).\nExperience working with Agentic AI frameworks.\nStrong knowledge of NLP, text analytics, and vector databases.\nExperience with GCP services, preferably Vertex AI.\nKnowledge of API development, security, and authentication.\nExperience with Docker, Kubernetes, Microservices, and Serverless Architecture.\nStrong programming skills in Python.\nExperience with FastAPI, Flask, SQL, and JavaScript.\nGood understanding of Object-Oriented Programming (OOP).\nExcellent communication and stakeholder management skills.\nPreferred Skills\nExperience with AI Search and Vector Database technologies.\nExposure to AI solution architecture and enterprise-scale implementations.\nExperience working on client-facing AI projects.\nStrong problem-solving and analytical skills.\nNote for Candidates\nCandidates with strong hands-on experience in GenAI, Data Science, 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