Director - AI Technology Delivery

Urgent requirement for Director-AI Technology Delivery for Bangalore Location. Experience : 15-20 YrsRelevant : AI- Min 8 YrsJob Description : We are seeking a dynamic and technically strong Director of AI Technology Delivery to lead the end-to-end engineering, deployment, and lifecycle management of production-grade AI solutions. The ideal candidate will possess deep expertise in AI/ML systems, full-stack engineering, database design, and enterprise technology frameworks, and must demonstrate proven experience in driving AI products from prototype to scaled deployment across global business units.Key Responsibilities : 1. Technology Delivery & Execution :- Own the end-to-end delivery of AI-enabled products, from data ingestion to model deployment and integration into production environments.- Lead full-stack development teams, including frontend (React.js, Angular), backend (Python, Node.js, Java), APIs (REST/GraphQL), and microservices architecture (Docker, Kubernetes, Kafka).- Architect, implement, and oversee ML Ops pipelines, ensuring models are versioned, tested, monitored, and deployed securely and reliably.- Manage high-performance databases (SQL, NoSQL, Graph, Vector DBs) for structured, semi-structured, and unstructured data across AI pipelines.2. Strategic Technology Oversight :- Define and maintain technical blueprints, solution architecture, and delivery plans for enterprise AI solutions.- Act as the technical custodian for AI products, aligning with cloud (Azure, AWS, GCP) infrastructure and enterprise security policies.- Oversee development standards, CI/CD pipelines, observability, and performance tuning for all AI applications.3. Cross-Functional Collaboration- Partner with Product Management, AI Research, DevSecOps, UX Design, and Data Engineering teams to deliver AI-based features.- Ensure alignment between AI experimentation and scalable productionization across business units such as Tax, Audit, ESG, and Advisory.- Lead technical governance, code reviews, architectural reviews, and compliance against responsible AI frameworks.4. Team Leadership & Scaling :- Lead a team of senior engineers, AI developers, and data engineers across GDCs and member firms.- Mentor staff on technical excellence, agile practices, and delivery accountability.- Drive talent acquisition and technical skill development across the AI delivery squads.Core Competencies & Skills Required : Area Skillset :- AI/ML Technologies Hands-on with Python, PyTorch/TensorFlow, LangChain, LLMs (GPT, Claude, Falcon), Hugging Face, ONNX- Full Stack React.js/Next.js, Node.js/Express, Django/FastAPI, GraphQL, REST APIs- DevOps/MLOps Docker, Kubernetes, Airflow, MLflow, GitHub Actions, Azure DevOps, Ray, Terraform Data & DBs PostgreSQL, MongoDB, Redis, Neo4j, Milvus/Weaviate/FAISS, Azure Data Lake, Snowflake- Cloud Platforms Azure AI Studio, AWS SageMaker, Google Vertex AI- Architecture Event-driven, Microservices, Serverless, API Gateways, Hybrid Edge-to-Cloud Design Security & Compliance OAuth2, RBAC, Zero Trust, PII masking, Audit trails, Model explainability (SHAP, LIME)- Delivery Frameworks Agile, Scrum, SAFE Agile, JIRA, Confluence, GitHub ProjectsQualifications : - Master's or Ph.D. in Computer Science, Engineering, or related field.- 14+ years in technology delivery, with 8+ years in AI/ML productization.- Proven experience delivering AI platforms and digital products at scale.- Strong leadership in managing distributed engineering teams and AI squads.- Ability to present and influence at the CXO and Board level on technology vision and delivery health.KPIs and Success Metrics : - Delivery of AI products on time, within budget, and with measurable business impact.- AI solution uptime, model performance (latency, accuracy), and scalability.- Developer productivity (e.g., PR velocity, commit quality, MTTR).- AI model governance compliance and audit-readiness.- Team engagement, retention, and skill advancement across engineering pods (ref:hirist.tech)