Specialist - Software Engineer (Agentic AI Engineering)

Overview

Design, build, evaluate, and operate secure agentic AI solutions that help teams automate common work, improve self-service, and accelerate decision-making, moving AI use-cases from prototype to reliable production capability.

What you'll do

• Build and deploy agentic AI solutions using AWS Bedrock AgentCore and Python with the Strands framework.
• Design agent workflows that use approved tools, APIs, and Model Context Protocol (MCP) servers to retrieve context and take bounded actions.
• Integrate agents with enterprise APIs, knowledge sources, workflow platforms, and cloud-security services in partnership with the API Developer.
• Implement guardrails for identity, authorization, tool permissions, prompt and response handling, data classification, logging, evaluation, and human approval.
• Develop automated evaluation suites for accuracy, safety, latency, cost, and task completion; use results to continuously improve agent behavior.
• Implement CI with GitHub Actions and CD with Harness for agent code, configuration, prompts, evaluations, and deployment artifacts.
• Partner with SMEs to curate approved knowledge, define escalation paths, and establish human-in-the-loop controls for high-risk actions.
• Monitor production agent usage, failures, hallucination patterns, and tool-call outcomes; maintain runbooks and operational dashboards.
• Contribute reusable agent patterns, MCP integration standards, prompt conventions, and reference implementations for the CPS AI Build Line.
• Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure data and technology solutions are protected from threats and vulnerabilities.
• Drives continuous improvement and learning through ongoing training, practice and innovation.
• Manages medium to large project priorities, deadlines and deliverables proactively.

What you'll need

• Undergraduate studies in computer science, management information systems, or other related degree; technology experience or non-traditional technology certificates can be substituted for an undergraduate degree.
• Four or more years of analysis and technology experience.
• Strong experience in secure software engineering, machine-learning engineering, or AI engineering experience with deploying agent to AWS and building IaC code to deploy applications.
• Experience with AWS Bedrock and/or AWS Bedrock AgentCore; experience with Strands is required.
• Strong Python development experience, including testing, packaging, API integration, and production support.
• Hands-on experience building and deploying LLM-based or agentic applications.
• Experience integrating services through APIs and MCP or comparable tool-integration patterns.
• Experience implementing CI/CD with GitHub Actions and Harness or comparable enterprise tooling.
• Strong understanding of AI security, secure coding, access control, data handling, and production observability.
• Ability to explain AI-system behavior, limitations, risks, and controls to technical and nontechnical stakeholders.
• Technical skills: CI/CD, cloud computing, programming languages, software development life cycle (SDLC), software engineering, software security, software testing, systems integration.
• Proficiency in one or more programming languages such as Java, C++, Python, JavaScript.
• Strong communication and collaboration skills; analytical and problem-solving mindset; ability to work in agile and global environments; time management and prioritization.
• Proven ability to tackle complex business and development problems; ability to thrive in a team environment.

Nice to have

• Experience with retrieval-augmented generation, knowledge grounding, vector search, and document-processing pipelines.
• Experience with agent evaluation frameworks, red teaming, guardrails, prompt-injection defenses, and human-in-the-loop controls.
• Experience with Kubernetes, AWS, and cloud-security services.
• Build and deploying Cloud Native applications using Infrastructure-as-Code: CDK/Helm Charts to AWS/K8s environments.
• Experience building AI products in cyber security, cloud engineering, or another regulated domain.
• Experience with Agile product delivery and cross-functional engineering teams.
• Ability to learn emerging technologies quickly and apply engineering discipline to build maintainable, production-ready solutions.
• Insurance/financial services industry knowledge.

Details

• Location: Hyderabad, Telangana, India (Mindspace Madhapur, HITEC City).
• Location flexibility: Hybrid with periodic in-office collaboration.
• Reports to Manager or Director.
• Collaborate across core product team and cross-train with operational team.