Serve as Technical Lead designing and technically integrating advanced Artificial Intelligence (AI) and Large Language Model (LLM) capabilities supporting the Department of Homeland Security (DHS).
Compensation
Expression offers competitive salaries and benefits, such as:
Responsibilities
Lead the technical architecture, design, and implementation of enterprise AI and agentic AI solutions within the Government's existing AI environment
Define scalable, secure, and maintainable software architectures integrating LLMs, specialized AI agents, enterprise data services, APIs, and human-in-the-loop workflows
Design and implement multi-agent orchestration frameworks, including Responder–Evaluator–Reporter workflows, model selection, prompt management, tool invocation, and structured output validation
Lead the integration of Government-approved frontier AI models through authorized endpoints
Architect retrieval-augmented generation (RAG) solutions that integrate authorized enterprise data sources while preserving source attribution, access controls, data lineage, and traceability
Lead and mentor a team of software engineers, design and architect scalable LMS and broader SaaS platform, collaborate with cross-functional teams, ensure coding standards, own production services on AWS, drive continuous improvement, contribute hands-on throughout the software development lifecycle.
Compensation
Salary is commensurate with experience.
Responsibilities
Lead and mentor a team of software engineers
Design and architect scalable, high-performance LMS and broader SaaS platform
Collaborate with cross-functional teams to define product requirements and technical specifications
Ensure adherence to coding standards, engineering best practices, and security development practices
Own the performance and reliability of production services on AWS, including deployment pipelines, monitoring, and incident response
Analyze, design, code and test multiple components of application code across one or more clients, perform maintenance, enhancements and/or development work.
Assists with the data platform blueprint and design, collaborating with Integration and Data Architects to ensure cohesive integration between systems and data models.
Responsibilities
Collaborate with Integration Architects and Data Architects
Manage team decisions
Engage with multiple teams and contribute on key decisions
Provide solutions to problems for immediate and cross-team issues
Lead AI‑powered application development for Genpact’s IPS insurance broking platform, building and maintaining multi‑agent pipelines and Azure‑based services.
Responsibilities
Build and maintain agents within the Microsoft Agent Framework multi‑agent pipeline
Write Python services (FastAPI) for the backend of the agentic platform
Integrate Azure AI services into the platform
Implement rules engine logic for insurance broking workflows
Lead the redesign and transformation of enterprise e-commerce platforms, shifting legacy systems to headless and composable architectures while migrating IBM WebSphere to HCL Commerce.
Locations (4)
Bengaluru, Karnataka, India
Pune, Maharashtra, India
Chennai, Tamil Nadu, India
Cochin, Kerala, India
Compensation
Rs 1500000 - Rs 2200000 (ie INR 15-22 LPA)
Responsibilities
Design end-to-end modern commerce architectures that replace legacy IBM WebSphere Commerce with HCL Commerce solutions.
Architect headless commerce layers using Java and modern API gateways to enable omnichannel experiences.
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