{"id":3046703,"url":"https://alion.io/job/exl-lead-ai-engineer-cloud-infrastructure-automation","title":"Lead AI Engineer – Cloud Infrastructure & Automation","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":232,"ghost_share":0,"stale_share":0.991,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":170000,"currency":"USD","period":"year","gross":null,"usd_annual":170000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AgentOps","optional":true},{"name":"AI Agents","optional":true},{"name":"AIOps","optional":true},{"name":"Anomaly Detection","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"CI/CD","optional":true},{"name":"Context Engineering","optional":true},{"name":"Function Calling","optional":true},{"name":"GitHub","optional":true},{"name":"Hallucination","optional":true},{"name":"ITSM","optional":true},{"name":"Jenkins","optional":true},{"name":"LangChain","optional":true},{"name":"LLM","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"LLMOps","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"RAG","optional":true},{"name":"Self-Healing","optional":true},{"name":"SonarQube","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-07-22T15:55:32Z","employer_posted_date":"2026-07-22","last_verified_at":"2026-10-23T23:23:28Z","board_verified":true,"closed_at":null,"days_open":93,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":92},"description":"Work Location: NY/NJ\nWork Mode : Hybrid (2-3 days onsite)\nPay Range :$150K-$170K /Yr Base + Annual Bonus\n The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process\nFor more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits\nJob Overview:\nYour primary mandate is to accelerate delivery of business-unit solutions by building AI systems that generate, validate, and ship infrastructure-as-code - Terraform in particular - so environments are stood up faster and more consistently. You will architect agentic applications and workflows on AWS, apply intelligent automation across the platform and cloud operations, and pioneer emerging agentic techniques. As a technical leader, you will set direction, establish standards and guardrails, and mentor engineers while remaining hands-on with design and implementation.\n AI-Driven Infrastructure Delivery\nDesign and build AI agents and tools that generate, validate, and refactor infrastructure-as-code - Terraform in particular - to accelerate the delivery of business-unit solutions.\nEmbed guardrails, policy-as-code, and automated validation into the generation workflow so generated infrastructure adheres to standards, security policy, and reusable module patterns before it reaches production.\n Reduce provisioning lead time and rework by integrating AI-assisted code generation and review into the CI/CD toolchain (GitHub, Jenkins, Artifactory, SonarQube).\nCurate and maintain a library of reusable Terraform modules, blueprints, and golden patterns that agents can compose to stand up new environments quickly and consistently.\nAgentic AI & LLM Applications\n Architect and build agentic applications and multi-agent systems using modern agent frameworks (e.g., LangChain, Amazon Bedrock Agents) to automate infrastructure, platform, and operations workflows.\nApply and advance emerging agentic techniques such as context engineering, agent harnesses, tool/function calling, and evaluation loops to improve agent reliability and autonomy.\n Implement RAG pipelines (retrieval-augmented generation) over internal knowledge sources - runbooks, architecture docs, Terraform modules, and ITSM history - to ground agent behavior.\n Establish patterns and standards for prompt/context engineering, model selection, evaluation, cost management, and responsible-AI guardrails (security, privacy, and hallucination controls).\nAIOps & Cloud Operations\nApply AIOps for anomaly detection, event correlation, and automated remediation across the cloud estate and automation platform.\n Reduce mean-time-to-detect and mean-time-to-resolve by integrating AI into ITSM (ticket triage, classification, routing, and self-healing runbooks) to accelerate cloud operations.\nPlatform, Delivery & Leadership\nOwn the LLMOps/agent-ops foundation for agentic AI workloads - pipelines, deployment, evaluation, monitoring, and lifecycle management - on AWS.\nPartner with security, data governance, and legal teams to ensure AI solutions meet compliance and responsible-AI requirements.\nSet technical direction, define the AI roadmap for the platform, and provide architecture governance.\nMentor engineers, run design reviews, and grow agentic-AI capability across the team.\n AI-Driven Infrastructure Delivery\nDesign and build AI agents and tools that generate, validate, and refactor infrastructure-as-code - Terraform in particular - to accelerate the delivery of business-unit solutions.\nEmbed guardrails, policy-as-code, and automated validation into the generation workflow so generated infrastructure adheres to standards, security policy, and reusable module patterns before it reaches production.\n Reduce provisioning lead time and rework by integrating AI-assisted code generation and review into the CI/CD toolchain (GitHub, Jenkins, Artifactory, SonarQube).\nCurate and maintain a library of reusable Terraform modules, blueprints, and golden patterns that agents can compose to stand up new environments quickly and consistently.\nAgentic AI & LLM Applications\n Architect and build agentic applications and multi-agent systems using modern agent frameworks (e.g., LangChain, Amazon Bedrock Agents) to automate infrastructure, platform, and operations workflows.\nApply and advance emerging agentic techniques such as context engineering, agent harnesses, tool/function calling, and evaluation loops to improve agent reliability and autonomy.\n Implement RAG pipelines (retrieval-augmented generation) over internal knowledge sources - runbooks, architecture docs, Terraform modules, and ITSM history - to ground agent behavior.\n Establish patterns and standards for prompt/context engineering, model selection, evaluation, cost management, and responsible-AI guardrails (security, privacy, and hallucination controls).\nAIOps & Cloud Operations\nApply AIOps for anomaly detection, event correlation, and automated remediation across the cloud estate and automation platform.\n Reduce mean-time-to-detect and mean-time-to-resolve by integrating AI into ITSM (ticket triage, classification, routing, and self-healing runbooks) to accelerate cloud operations.\nPlatform, Delivery & Leadership\nOwn the LLMOps/agent-ops foundation for agentic AI workloads - pipelines, deployment, evaluation, monitoring, and lifecycle management - on AWS.\nPartner with security, data governance, and legal teams to ensure AI solutions meet compliance and responsible-AI requirements.\nSet technical direction, define the AI roadmap for the platform, and provide architecture governance.\n Mentor engineers, run design reviews, and grow agentic-AI capability across the team.","description_format":"text","description_chars":6334,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business Process Outsourcing (BPO)","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-22T00:46:32Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 281 · green card filings: 17","filings_12m":281,"filings_prev_12m":395,"green_card_filings_12m":17,"median_offered_wage_usd":128641,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":123}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.19,"p_room":0.28,"age_days":92,"expected_fill_days":9,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":{"stated_usd_annual":170000,"is_top_pay":false},"html_url":"https://alion.io/job/exl-lead-ai-engineer-cloud-infrastructure-automation","json_url":"https://alion.io/job/exl-lead-ai-engineer-cloud-infrastructure-automation.json","meta":{"generated_at":"2026-10-23T23:42:48Z","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":7248,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":38016},"rest":"https://alion.io/mcp/rest/get_company?id=38016"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fexl-lead-ai-engineer-cloud-infrastructure-automation"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fexl-lead-ai-engineer-cloud-infrastructure-automation"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fexl-lead-ai-engineer-cloud-infrastructure-automation"},{"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/exl-lead-ai-engineer-cloud-infrastructure-automation\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fexl-lead-ai-engineer-cloud-infrastructure-automation"}]}