{"id":3318548,"url":"https://alion.io/job/material-lead-ai-engineer","title":"Lead AI Engineer","company":{"id":178614,"name":"Material","domain":"materialplus.io","url":"https://alion.io/company/materialplus","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"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","Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":47},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CrewAI","optional":false},{"name":"GCP","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-27T05:13:45Z","employer_posted_date":null,"last_verified_at":"2026-10-27T05:13:45Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"We are seeking a highly skilled Lead AI Engineer to drive the design, development, and deployment of advanced AI systems with a strong focus on agentic AI architectures and SAP Joule integration. This role requires both deep technical expertise and leadership capabilities to guide a team in building next-generation intelligent systems.\n\nResponsibilities :\n\n- Lead the development of agentic AI systems capable of autonomous reasoning, planning, and execution.\n\n- Architect scalable AI solutions integrating SAP Joule for enterprise workflows and automation.\n\n- Collaborate with cross-functional teams to translate business problems into AI-driven solutions.\n\n- Define best practices for LLM orchestration, tool usage, and multi-agent systems.\n\n- Mentor and manage a team of AI engineers and developers.\n\n- Oversee deployment pipelines, model optimization, and system performance.\n\n- Ensure alignment with enterprise-grade security, compliance, and scalability standards.\n\nRequirements :\n\n- 6 - 10 years of experience in AI/ML engineering or related fields.\n\n- Strong expertise in agentic AI frameworks (LangChain, AutoGen, CrewAI, etc.).\n\n- Hands-on experience with SAP Joule AI (mandatory).\n\n- Proficiency in Python and modern AI/ML stacks.\n\n- Experience working with LLMs (OpenAI, Anthropic, and open-source models).\n\n- Strong understanding of prompt engineering, RAG pipelines, and vector databases.\n\n- Experience in building and orchestrating multi-agent systems.\n\n- Familiarity with cloud platforms (AWS, Azure, or GCP).\n\n- Excellent leadership and stakeholder management skills.\n\nGood to Have :\n\n- Experience with the SAP ecosystem (S/4HANA, BTP, etc.).\n\n- Exposure to enterprise automation and workflow systems.\n\n- Prior experience in leading AI transformation initiatives.\nSkills\nArtificial Intelligence, Agentic AI, AI Architecture, LLM, Machine Learning, Python, RAG, Prompt Engineering, AWS, 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