About the Role
As a highly skilled and experienced Senior AI, Machine Learning, and Automation Expert, you will join a dynamic team at Tata Consultancy Services. The ideal candidate will possess a strong background in AI, machine learning, and automation technologies, with a proven track record of implementing and managing complex projects. This role demands a deep understanding of various AI and ML tools, as well as expertise in DevOps practices to ensure seamless integration and deployment of AI solutions.
Strategic Leadership & Architecture
- Define GenAI strategy and roadmap: Align GenAI initiatives with business priorities, identifying opportunities for high-value automation, augmentation, and transformation.
- Solution architecture ownership: Design secure, scalable, and cost-effective GenAI architectures using AWS Bedrock for model orchestration and integration.
- Tool & model evaluation: Select appropriate foundation models (e.g., Anthropic Claude, Amazon Titan, Meta Llama, Stability AI) based on business use cases, data privacy, and latency needs.
- AI governance and compliance: Establish guardrails for responsible AI, data governance, and model lifecycle management in AWS environments.
- Architecture patterns: Define and enforce reusable architecture blueprints (e.g., RAG, agentic workflows, chat-with-enterprise-data patterns).
Hands-on Technical Expertise (AWS & GenAI Stack)
- AWS Bedrock expertise: Deploy and integrate foundation models using the Bedrock API. Configure model parameters, embeddings, and inference pipelines. Manage cross-model orchestration and multi-agent workflows.
- RAG implementation: Design retrieval-augmented generation pipelines using Amazon Kendra, OpenSearch, or vector databases (e.g., Pinecone, Weaviate, FAISS). Build context-aware conversational systems integrating enterprise data.
- Agent development: Create custom AI agents and copilots using AWS Bedrock Agents or LangChain with Bedrock integration. Leverage AWS Lambda, Step Functions, or SageMaker for agent orchestration and automation.
- Integration and APIs: Build APIs and applications connecting Bedrock with AWS services like S3, DynamoDB, Redshift, Aurora, and EventBridge. Integrate GenAI features into enterprise tools (e.g., ServiceNow, Jira, Salesforce).
- Prompt engineering & tuning: Optimize prompt templates and chain-of-thought frameworks for model accuracy and reliability.
- Model customization: Fine-tune or adapt foundation models with domain-specific data via Bedrock or SageMaker.
Leadership, Collaboration & Delivery
- Lead cross-functional AI delivery teams (data engineers, ML engineers, cloud architects, developers).
- Translate business needs into AI solutions with clear ROI, feasibility, and delivery timelines.
- Mentor and enable engineers on AWS Bedrock and GenAI frameworks (LangChain, Semantic Kernel, LlamaIndex).
- Communicate technical strategy to senior leadership, articulating value and innovation.
- Drive PoCs and pilots to production-grade AI systems across use cases like knowledge assistants, automation bots, or predictive analytics.
Technical Skills
- Proficiency in programming languages such as Python and Node.js.
- Expertise in AI and ML frameworks: TensorFlow, PyTorch, scikit-learn.
- Experience with RPA tools: UiPath, Automation Anywhere, Blue Prism.
- Knowledge of DevOps tools: Jenkins, Docker, Kubernetes, Terraform, Ansible.
- Familiarity with cloud platforms: AWS, Azure, Google Cloud.
- Experience in using Gen AI APIs and libraries.
Experience
- Minimum 8 years of total experience.
- Minimum 4 years of programming experience.
- Proven track record of successfully delivering complex AI (Gen AI) and automation projects.
- Strong understanding of DevOps practices and tools.
Roles & Responsibilities
AI And ML Development
- Design, develop, and implement advanced AI and ML models using frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Conduct research and stay updated with the latest advancements in AI and ML technologies.
- Collaborate with data scientists and engineers to build and deploy scalable AI solutions.
Automation
- Develop and maintain automation scripts and tools to streamline workflows and improve efficiency.
- Implement Robotic Process Automation (RPA) using tools like UiPath, Automation Anywhere, and Blue Prism.
- Integrate AI-driven automation solutions to enhance business processes.
DevOps
- Manage CI/CD pipelines to ensure smooth deployment of AI and ML models.
- Implement Infrastructure as Code (IaC) using tools like Terraform and Ansible.
- Monitor and optimize system performance, ensuring high availability and reliability.
Collaboration And Leadership
- Lead cross-functional teams to deliver AI and automation projects on time and within budget.
- Provide mentorship and guidance to junior team members.
- Communicate effectively with stakeholders to understand business requirements and translate them into technical solutions.
Qualifications
BACHELOR OF COMPUTER SCIENCE
TCS Employee Benefits Summary
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
- Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.