Senior Forward Deployed Engineer

Apexon Technology

Pune District

On-site

INR 4,000,000 - 7,000,000

Full time

2 days ago

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Benefits offered by this job

Group Health Insurance covering family

Term Insurance and Accident Insurance

Paid Holidays & Earned Leaves

Employee Wellness

Job summary

Apexon is seeking a Senior Forward Deployed Engineer in Pune, India, to design Python services, integrate AWS Bedrock AgentCore, and support onboarding and migration of enterprise AI agents. You will implement secure API and platform integrations, manage infrastructure with Terraform, CDK, and CloudFormation, and build CI/CD pipelines with GitHub Actions for production-ready deployments.

The role requires 6–8 years of software engineering experience, strong Python skills, and hands-on cloud

Qualifications

6 to 8 years software engineering experience.
Strong hands-on Python development skills.
Experience with AWS Bedrock AgentCore integrations.
Hands-on with infrastructure as code (Terraform, AWS CDK, AWS CloudFormation).
Proficient in building CI/CD pipelines (GitHub Actions).
Familiarity with MCP integrations and modern auth (OAuth 2.0 / OIDC).
Experience deploying and validating cloud platform integrations.

Responsibilities

Design and develop scalable Python services supporting enterprise AI agent use cases.
Build integrations with AWS Bedrock AgentCore and related agent platform capabilities.
Support agent Registry onboarding, configuration, and lifecycle management.
Implement and integrate Gateway capabilities for secure and reliable agent connectivity.
Configure and maintain infrastructure using Terraform, AWS CDK, and AWS CloudFormation.
Build and enhance automated deployment pipelines using GitHub Actions and CI/CD best practices.
Develop REST API and MCP integrations.
Implement secure authentication and authorization flows using OAuth 2.0 and OpenID Connect.
Support agent migration, testing, validation, and production-readiness activities.
Assist with Harness setup, deployment enablement, and onboarding automation.
Collaborate to troubleshoot integration and deployment issues.
Contribute to reusable automation, engineering standards, and documentation.

Skills

Python

AWS Bedrock AgentCore

Terraform

AWS CDK

AWS CloudFormation

GitHub Actions

MCP integrations

OAuth 2.0 / OIDC

CI/CD pipelines

Cloud deployments

LangChain

Semantic Kernel

Gemini Enterprise

Amazon Neptune

Amazon OpenSearch

Harness setup

Tools

Terraform

AWS CDK

AWS CloudFormation

GitHub Actions

Job description

Apexon is an AI-first technology services firm that engineers intelligent enterprises. Our interconnected disciplines of Domain & Strategy, Cognitive Architecture, and Harness Engineering guide every engagement, helping clients deliver meaningful business outcomes while applying collective intelligence to confidently scale from early AI strategies to enterprise-grade production systems. For over three decades, we have helped organizations by leveraging our deep and practical expertise in Artificial Intelligence, Data & Analytics, Digital Engineering, and Experience, combined with our industry knowledge across Banking & Financial Services, Healthcare and Life Sciences to create lasting business value. Apexon is backed by Goldman Sachs Asset Management and Everstone Capital.

Role Summary

We are looking for Forward Deployed Engineers at JL6A level with 3 to 5 years of software engineering experience to join a team building and deploying enterprise-grade AI agent solutions. This role will focus on developing Python services, integrating AWS Bedrock AgentCore capabilities, enabling agent onboarding and migration, and implementing secure API and platform integrations. The ideal candidate will bring strong hands‑on experience in Python, AWS infrastructure as code, CI/CD, REST APIs, and modern authentication protocols. You will work across engineering, platform, and deployment activities to help move AI agents from development into scalable, validated production environments.

Job Title: Senior Forward Deployed Engineer

Key Responsibilities

Design and develop scalable Python services supporting enterprise AI agent use cases.
Build integrations with AWS Bedrock AgentCore and related agent platform capabilities.
Support agent Registry onboarding, configuration, and lifecycle management.
Implement and integrate Gateway capabilities for secure and reliable agent connectivity.
Configure and maintain infrastructure using Terraform, AWS CDK, and AWS CloudFormation.
Build and enhance automated deployment pipelines using GitHub Actions and CI/CD best practices.
Develop REST API and Model Context Protocol (MCP) integrations.
Implement secure authentication and authorization flows using OAuth 2.0 and OpenID Connect.
Support agent migration, testing, validation, and production‑readiness activities.
Assist with Harness setup, deployment enablement, and onboarding automation.
Collaborate with platform, engineering, and delivery teams to troubleshoot integration and deployment issues.
Contribute to reusable automation, engineering standards, and operational documentation.

Mandatory Skills Required

6 to 8 years of software engineering experience.
Strong hands‑on programming experience with Python.
Exposure to AWS Bedrock AgentCore and its integration patterns.
Experience with infrastructure‑as‑code technologies, including: Terraform, AWS CDK and AWS CloudFormation
Experience building or maintaining CI/CD pipelines using GitHub Actions.
Understanding of or hands‑on exposure to Model Context Protocol (MCP) integrations.
Working knowledge of modern authentication and authorization standards: OAuth 2.0 and OpenID Connect (OIDC)
Experience supporting cloud deployments, platform integrations, testing, and validation activities.

Nice to Have Skills

Experience with AWS Strands.
Knowledge of agent development frameworks such as:
LangChain
Semantic Kernel
Exposure to enterprise agent platforms and agent lifecycle management.
Experience integrating with Gemini Enterprise.
Knowledge of Amazon Neptune and/or Amazon OpenSearch.
Experience working in the Life Sciences domain.
Understanding of Life Sciences compliance and regulated delivery practices, including: Good Practice requirements (GxP)
Digital Systems Development Lifecycle (DSDLC)
Experience with Harness setup, configuration, or deployment automation.

Our Commitment to Diversity & Inclusion

Did you know that Apexon has been Certified™ by Great Place To Work®, the global authority on workplace culture, in each of the four regions in which it operates: USA for the seventh time in 2026, India for the tenth consecutive time in 2026, the UK for the fourth time in 2026, and Mexico for the second time in 2026. Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here: Job Applicant Privacy Policy on apexon.com.

Our Commitment to Environment

Actively contribute to Apexon's commitment to environmental responsibility by following sustainable practices and supporting ESG initiatives.

Our Perks and Benefits

Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience, and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well‑being benefits and assistance.

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