
AIML Architect
7 days 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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