Lead AI strategy and implement GenAI, agentic AI, and automation to modernize legacy systems, integrate AI into engineering lifecycle, and build production-grade, scalable AI solutions with cloud, containerization, MLOps, and data pipeline best practices.
This person would help to drive the AI strategy for solving business problems, implement AI, GenAI, Agentic AI for automation, legacy software modernization, engg lifecycle integration and for productivity enhancements and tooling.
Required Qualifications
- 8+ years of professional experience in AI, machine learning, or software engineering with AI focus
- Deep expertise in at least one of: Generative AI, LLMs, agentic AI systems, or modern AI frameworks
- Strong programming skills in Python, Java, Go, or similar languages
- Demonstrated experience building and deploying production-grade AI systems
- Proficiency with popular AI/ML frameworks (TensorFlow, PyTorch, LangChain, AutoGen, etc.)
- Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes)
- Understanding of software architecture, design patterns, and enterprise system integration
- Knowledge of data engineering, data pipelines, and relevant data governance practices
- Familiarity with DevOps, MLOps, and CI/CD practices
- AI/ML Technologies: Deep learning, NLP, computer vision, reinforcement learning, foundation models
- GenAI Tools: ChatGPT, Claude, Gemini, open-source models; API integration and deployment
- Agentic AI: Agent frameworks, multi-step reasoning, tool integration, agent orchestration
- Software Architecture: Microservices, serverless computing, distributed systems, system design
- Data Engineering: Data pipelines, ETL processes, data quality, feature engineering
- DevOps & MLOps: Model versioning, experiment tracking, monitoring, deployment automation
- Analytics & Evaluation: Metrics definition, model evaluation, performance benchmarking
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead and grow a finance data engineering team, provide technical direction for scalable data platforms, drive engineering excellence and processes, and partner with business, data science, and analytics teams to build trusted data products.
Top Skills:
AWSDatabricksDbtGraph DatabasesPythonS3SparkSpark StreamingSQL
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead architecture and technical direction for the Connector Platform front door: API gateway, developer SDK/codegen, authentication, and integration lifecycle. Improve time-to-production, reliability, and security for edge-facing systems. Design declarative SDK/compiler pipelines, common auth/admission gateway, partner on identity/tenancy contracts, mentor senior engineers, and represent the team in cross-org technical discussions.
Top Skills:
Api GatewayAuthenticationCode GenerationCompilerDeclarative Configuration EnginesDeveloper SdkIdentity ManagementOauthTenancy
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Partner with cross-functional teams to design and execute quantitative analyses, experiments, forecasting, and visualizations that influence product and business strategy. Translate data into stories and actionable recommendations, measure impact, and present findings to senior leadership.
Top Skills:
LookerMicrostrategyPythonRR-ShinySap Business ObjectsSQLTableau
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
