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Agentic AI Engineer

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: Synechron
Full Time position
Listed on 2026-02-26
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing
Job Description & How to Apply Below
Location: Bengaluru

We have immediate opportunity for Agentic AI Engineer

Job Role:

AI Engineer

Job Location:

Bangalore and Hyderabad
Experience- 8+Years

About Company:
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 13,950+, and has 52 offices in 20 countries within key global markets. For more information on the company, please visit our website or Linked In community.

Diversity, Equity, and Inclusion
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company.

We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Job Description

The Enterprise AI Platform Team builds and maintains the secure, scalable AWS foundation for
agentic AI workloads. This team owns infrastructure provisioning, gateways, security, and
observability to enable self-service agent development.

Key Responsibilities:

• Provision and manage core AWS infrastructure including Bedrock Agent Core runtime
and CSP AWS services

• Implement identity management with IAM, Cognito, Okta integration for enterprise SSO

• Build platform components: memory stores, policy enforcement engines, browser tooling

• Deploy and operate gateways: MCP Gateway (Agent Core/Kong), LLM Gateway (multimodel
routing), Bedrock integration

• Manage containers and compute:
Docker builds, ECR registries, EKS clusters, EC2
instances

• Author IaC with Terraform modules and maintain Jenkins/Terraform Enterprise CI/CD
pipelines

• Set up RAG data infrastructure using Postgre

SQL and Redshift

• Develop MCP server tools for APIs and browser integrations

• Enable multi-LLM support (AWS Nova, OpenAI, Anthropic Claude/Opus, Gemini)

• Implement comprehensive observability:
Cloud Watch, X-Ray, Splunk, New Relic
dashboards and alerting

• Design platform APIs supporting REST, SOAP, Graph

QL, OAuth2, streaming protocols,
and A2A communication
Required

Skills & Experience:

• 5+ years AWS platform engineering with Bedrock, Agent Core, EKS/ECR experience

• Expert Terraform IaC (modules, state management, AWS providers) and Jenkins pipeline
development

• Deep gateway experience (Kong, MCP servers, LLM routing, rate limiting, guardrails)

• Strong observability implementation across Cloud Watch/X-Ray/Splunk/New Relic stacks

• Enterprise identity patterns (IAM roles/SCPs, Cognito federation, Okta SSO)

• Distributed systems design for multi-tenant AI platforms with fault tolerance and
compliance
Nice to Have:

• Previous enterprise AI platform builds (Bedrock Guardrails, Agent Core gateway
deployments)

• Multi-model LLM gateway operations (model routing, cost optimization, SLAs)

Regards
Minu
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