{"id":4167326,"url":"https://alion.io/job/srm-technologies-senior-ai-lead-director-ai-programs","title":"Senior AI Lead / Director - AI Programs","company":{"id":59585,"name":"SRM Technologies","domain":"srmtech.com","url":"https://alion.io/company/srm-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Databricks","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"NLP","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GCP","optional":true},{"name":"Machine Learning","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-11-12T13:35:30Z","employer_posted_date":null,"last_verified_at":"2026-11-12T13:35:30Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"As a Senior AI Lead - AI Programs & Solutions, you will lead SRM Tech's artificial intelligence programs, client engagements, and proprietary AI tool development initiatives. The role combines technical expertise with executive leadership, focusing on Go-To-Market (GTM) strategies, enterprise AI delivery, and positioning SRM Tech as a trusted partner in AI transformation.\n\nYou will lead multidisciplinary teams, manage strategic client relationships, and drive the adoption of Generative AI, Agentic AI workflows, and scalable AI/ML platforms. Experience in the Life Sciences / Pharmaceutical domain is a strong advantage.\n\nKey Responsibilities:\nDefine and execute Go-To-Market (GTM) strategies for AI offerings, accelerators, and solution frameworks.\nLead client presentations and present technical solutions, translating business challenges into actionable AI roadmaps.\nLead internal product and tool development initiatives to build reusable, scalable, and high-value AI assets and frameworks.\nOversee end-to-end delivery of complex AI/ML programs, ensuring timely, high-quality execution aligned with business objectives.\nManage cross-functional teams comprising data engineers, data scientists, ML engineers, and solution architects.\nEstablish delivery governance, quality assurance, and best practices across AI programs.\nServe as the primary AI subject matter expert in client discussions, discovery workshops, and steering committee meetings.\nDrive the adoption of Generative AI architectures, including Agentic AI, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Vector Databases.\nProvide architectural oversight for scalable data pipelines and platforms, including Apache Spark, Kafka, and Databricks.\nGuide the development and implementation of classical ML and NLP models across cloud and hybrid environments.\nMentor and develop AI engineering and data science teams, fostering technical excellence and innovation.\nApply Life Sciences domain knowledge across commercial operations, market access, clinical insights, and omnichannel analytics to develop industry-specific AI solutions and accelerate time-to-value for clients.\n\nPreferred Qualifications:\n15+ years of overall experience in IT / Software Engineering.\n6+ years in dedicated AI/ML leadership or architecture roles.\nBachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative discipline.\nProven experience in client management, executive presentations, and C-level stakeholder engagement.\nExperience in defining AI offerings, supporting pre-sales activities, and driving GTM expansion.\nDemonstrated ability to build, mentor, and manage delivery teams across multiple projects.\nExpertise in Generative AI platforms, Agentic AI architectures, RAG frameworks, LLMs, fine-tuning, and Vector Databases.\nStrong foundation in Machine Learning, Deep Learning, NLP, and statistical modeling.\nProficiency in Python and ML frameworks, including PyTorch, TensorFlow, and scikit-learn.\nExperience with enterprise data platforms and technologies, including Databricks, Apache Spark, Kafka, and cloud-native services across AWS, Azure, and GCP.\nExperience in MLOps, CI/CD for AI, model monitoring, and automated deployment pipelines.\nLife Sciences / Pharmaceutical domain experience, particularly in commercial AI use cases, field productivity tools, patient/HCP journey orchestration, and market access operations.\nSkills\nAI, Artificial Intelligence, Generative 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