AIML Architect

Job Description: Senior AI & Technologies Leader Role:Senior AI & Emerging Technologies Leader Experience:10+ Years Location:Mumbai - onsite Employment Type:Full-timeAbout the Role We are seeking a seasoned technology leader with10+ years of hands-on experienceinArtificial Intelligence (AI), Machine Learning (ML), Generative AI (GenAI), Cloud Platforms, Cybersecurity, APIand Emerging Technologies . The ideal candidate will be both astrategic 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 ofAI/ML and GenAI solutions(LLMs, RAG architectures, vector databases, orchestration frameworks). LiteLLM : with the Python SDK,. Opik: Open-Source LLM Evaluation & Observability : Driveenterprise-scale AI adoptionacross business functions (AML compliance, customer experience, predictive analytics, intelligent automation). Architect and implementcloud-native AI solutionson AWS, Azure, or GCP, integrating with enterprise systems. Leaddigital transformation programsinvolving AI, cybersecurity (IAM/PAM, Zero Trust), networking, and enterprise applications. Managemulti-million-dollar programs , ensuring delivery excellence, compliance, and measurable ROI. Establish and governAI/Tech Centers of Excellence (CoEs) , setting best practices for experimentation, deployment, and monitoring. Partner withCXOs and stakeholdersto 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 Face Generative AI tools: Microsoft Copilot, OpenAI APIs, Anthropic Claude ML frameworks: TensorFlow, PyTorch, Scikit-learn Data engineering: ETL pipelines, data lakes, vector DBs (Pinecone, Chroma, Weaviate) Cloud & Infra AWS, Azure, GCP AI/ML services OCI, Kubernetes, Docker for scalable deployments Cybersecurity & Compliance IAM/PAM rollouts, Zero Trust security, regulatory audits AI model governance, Responsible AI practices Program & Technology Management Agile, SAFe, Scrum methodologies PMO governance, vendor management, ROI tracking Stakeholder 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 inhands-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.