Lead Agentic AI Engineer

LTM is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTM brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTM a Larsen & Toubro Group company combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation  more information, please visit

• Design, implement, test, and deploy agentic AI systems and multi-agent workflows to solve complex customer problems
• Lead technical discussions, drive architecture decisions, and mentor the technical team
• Architect and integrate agent orchestration frameworks with tool/API ecosystem
• Own and deliver major solution areas end-to-end with minimal oversight

• GenAI Experience (Level 400) with Advanced Python
• Experience building production grade systems
• Hands-on experience with agentic frameworks (Strands, Lang Graph, CrewAI or similar)
• Strong prompt engineering and context engineering (grounding, RAG, memory patterns); MCP/A2A experience
• Cross-account IAM architecture experience — designing and implementing IAM roles, trust policies, and permission boundaries for multi-agent systems that span AWS accounts
• API integration experience (consumer/client);
  IaC using Terraform or Cloud Formation
• AWS Bedrock (Models, Guardrails);
  Lambda, API Gateway, S3, IAM, KMS, Secrets Manager, ECR, Basic VPC

• Bedrock Agent Core Services;
  Cloud Watch, DynamoDB, Event Bridge, Step Functions, ECS Fargate
• Agent evaluation experience (automated scoring, performance tracking)
• Inter-agent communication patterns (MCP, A2A) in multi-account environments — cross-account invocation, service control policies (SCPs), and resource-based policies for agent-to-agent access
• API Security (OAuth2, Api Key, Basic Auth)
• Observability (logging, metrics, tracing); CI/CD pipeline setup
• Vector databases and retrieval patterns
• GenAI coding assistants (Kiro, Q Developer)
• Legacy technology familiarity (Java/Spring, Sybase, DB2, or COBOL) as source context for agentic modernization or integration pattern design
• Financial services or regulated-industry experience (compliance-aware delivery: trade surveillance, data controls, audit requirements)
• Large-scale portfolio delivery experience — reusable patterns or components applied across 50+ applications, including wave planning and throughput measurement.

• Medical Plan Covering Medical, Dental, Vision
• Term and Long-Term Disability Coverage
• Plan with Company match.
• Insurance
• Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

The compensation and benefits information provided herein is accurate as of the date of this posting.

LTM is…