{"id":3015625,"url":"https://alion.io/job/exl-senior-ai-engineer","title":"Senior AI Engineer","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":200,"ghost_share":0,"stale_share":0.99,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-03-05T18:28:04Z","employer_posted_date":"2026-03-05","last_verified_at":"2026-10-23T00:37:37Z","board_verified":true,"closed_at":null,"days_open":231,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":230},"description":"We are seeking an experienced AI / Generative AI Engineer to design, develop, and deploy advanced AI-driven solutions leveraging large language models (LLMs) and modern Generative AI technologies. This role will focus on building scalable AI systems, deploying GenAI applications in production environments, and ensuring secure handling of sensitive data such as PII/PHI.\nThe ideal candidate will bring deep expertise in machine learning, generative AI model development, cloud-based AI infrastructure, and production deployment. The role requires strong collaboration with data scientists, software engineers, and business stakeholders to build reliable and responsible AI solutions that solve complex enterprise problems.\n Design, develop, and deploy Generative AI and machine learning solutions using large language models and modern AI frameworks.\nImplement LLM fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and model optimization techniques.\nDeploy and manage AI/ML pipelines and GenAI applications in production environments using cloud platforms such as Azure or GCP.\nBuild and maintain agentic AI systems leveraging modern orchestration and agent frameworks.\nWork with large datasets to build data pipelines and ensure effective model training and evaluation.\nDevelop AI solutions using Python and modern ML libraries.\nManage deployments and infrastructure in Linux-based environments.\nEnsure secure processing and governance of sensitive data, including PII and PHI, adhering to enterprise security and compliance standards.\nOptimize AI models and infrastructure for performance, scalability, reliability, and cost efficiency.\nCollaborate with cross-functional teams to integrate AI models into enterprise applications and production systems.\nDocument model architectures, experiments, deployment pipelines, and operational processes.\nStay current with emerging developments in Generative AI, LLMs, and AI engineering practices.\n Bachelor’s degree in Engineering, Computer Science, AI/ML, Data Science, or a related technical field.\n10+ years of overall professional experience in software engineering, machine learning, or AI engineering.\nMinimum 3+ years of hands-on experience working with Generative AI technologies and LLMs.\nStrong programming experience in Python.\nProven experience fine-tuning, deploying, and optimizing large language models.\nExperience deploying Generative AI solutions into production environments.\nHands-on experience working with Linux-based systems.\nExperience with cloud platforms such as Microsoft Azure or Google Cloud Platform (GCP).\nExperience building ML pipelines and deploying AI models using modern MLOps practices.\nExperience handling and securing sensitive data such as PII and PHI in compliance with security and regulatory requirements.","description_format":"text","description_chars":2813,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business Process Outsourcing (BPO)","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-21T16:32:46Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long 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