Job Description : Senior AI & Technologies Leader
Role : Senior AI & Emerging Technologies Leader
Experience : 10+ Years
Location : Mumbai - onsite
Employment Type : Full-time
About the Role
We are seeking a seasoned technology leader with 10+ years of hands-on experience in Artificial Intelligence (AI), Machine Learning (ML), Generative AI (GenAI), Cloud Platforms, Cybersecurity, APIand Emerging Technologies . The ideal candidate will be both a strategic thinker and practitioner , capable of architecting innovative solutions, leading high-performing teams, and driving end-to-end delivery of AI-powered digital transformation initiatives across industries such as BFSI, Telecom, Healthcare, and Public Sector.
Key Responsibilities
- Lead the design, development, and deployment of AI / ML and GenAI solutions (LLMs, RAG architectures, vector databases, orchestration frameworks).
- LiteLLM : with the Python SDK,.
- Opik : Open-Source LLM Evaluation & Observability :
- Drive enterprise-scale AI adoption across business functions (AML compliance, customer experience, predictive analytics, intelligent automation).
- Architect and implement cloud-native AI solutions on AWS, Azure, or GCP, integrating with enterprise systems.
- Lead digital transformation programs involving AI, cybersecurity (IAM / PAM, Zero Trust), networking, and enterprise applications.
- Manage multi-million-dollar programs , ensuring delivery excellence, compliance, and measurable ROI.
- Establish and govern AI / Tech Centers of Excellence (CoEs) , setting best practices for experimentation, deployment, and monitoring.
- Partner with CXOs and stakeholders to define strategy, build AI roadmaps, and drive change management for adoption.
- Mentor and grow teams of data scientists, engineers, and solution architects in AI and emerging technologies.
- Collaborate with product, risk, and compliance teams to ensure AI solutions meet regulatory and ethical AI standards.
- Continuously explore emerging technologies (GenAI, blockchain, IoT, automation) and assess business applicability.
Key Skills & Competencies
AI / ML & GenAI
LLMs, RAG (Retrieval-Augmented Generation), LangChain, LlamaIndex, Hugging FaceGenerative AI tools : Microsoft Copilot, OpenAI APIs, Anthropic ClaudeML frameworks : TensorFlow, PyTorch, Scikit-learnData engineering : ETL pipelines, data lakes, vector DBs (Pinecone, Chroma, Weaviate)Cloud & Infra
AWS, Azure, GCP AI / ML servicesOCI, Kubernetes, Docker for scalable deploymentsCybersecurity & Compliance
IAM / PAM rollouts, Zero Trust security, regulatory auditsAI model governance, Responsible AI practicesProgram & Technology Management
Agile, SAFe, Scrum methodologiesPMO governance, vendor management, ROI trackingStakeholder engagement, business storytellingQualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, AI / ML, or related field.10+ years in technology leadership roles, with at least 5 years in hands-on AI / ML / GenAI solution delivery .Strong exposure to BFSI, Telecom, Healthcare, or Public Sector domains.Certifications : PMP, SAFe, AWS / Azure AI certifications, ITIL, or equivalent preferred.