AIML Architect
3 weeks ago
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 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 storytelling
Qualifications
- 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.
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