HCLTech
From HCLTech's careers page
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Job Summary
Forward Deployment Engineer – GCP Agentic AI
Job Type
Full-Time
4–7 years overall; at least 2 years in Generative AI / Agentic AI with production delivery on Google Cloud
Noida, Hyderabad, Chennai, Bangalore, Pune
Primary Focus
Customer-specific engineering, integrations, deployment, productionization and troubleshooting
We are looking for a Forward Deployment Engineer (FDE) to design, customize, integrate, deploy, troubleshoot, and operationalize enterprise Generative AI and Agentic AI solutions for customers on Google Cloud. The FDE is a hands-on customer-facing engineer who turns reusable platform capabilities into working customer solutions and owns the implementation from technical discovery through production go-live and hypercare.
Hands-on customer implementation engineer
Heavy software and integration ownership
Executes the customer deployment plan
Escalates architecture/platform decisions when required
Typical time allocation
~70% engineering and integration
~20% customer interaction
~10% architecture contribution
Work directly with customer technical teams to understand application, infrastructure, data, integration, security, and operational requirements and translate them into implementable solutions.
Participate in technical discovery sessions, solution workshops, demonstrations, proof-of-concepts, pilots, deployment planning, and go-live activities.
Implement customer-specific Agentic AI solutions using Gemini Enterprise Agent Platform, ADK, Python, and appropriate agent frameworks such as LangGraph and LangChain.
Configure and customize reusable agents, Skills, tools, workflows, RAG components, prompts, and enterprise connectors for customer environments.
Develop customer-specific integrations using REST APIs, SDKs, MCP tools, databases, ITSM platforms, monitoring systems, identity services, and proprietary applications when reusable connectors are unavailable.
Configure customer endpoints, authentication, authorization, OAuth/API credentials, service accounts, IAM/RBAC, Secret Manager, and other security controls required for integration.
Deploy and operate customer solutions on Google Cloud using services such as Agent Runtime, Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud Storage, and related services.
Configure customer-specific RAG and knowledge integrations, including data ingestion, retrieval, access control, and validation.
Implement logging, tracing, metrics, monitoring, evaluation, and operational dashboards using Google Cloud capabilities and OpenTelemetry-based telemetry.
Execute functional, integration, security, performance, resiliency, evaluation, and user acceptance testing before production rollout.
Troubleshoot production issues across agents, models, prompts, tools, APIs, RAG, authentication, networking, and cloud infrastructure; drive issues to closure.
Analyze logs, traces, metrics, evaluation results, latency, token usage, and failure patterns and implement corrective actions.
Support CI/CD, environment promotion, versioning, releases, rollback, and production deployment activities.
Optimize solutions for reliability, scalability, latency, usability, and AI inference cost.
Document customer architecture, integrations, configuration, deployment steps, operational runbooks, troubleshooting procedures, and support information.
Conduct knowledge transfer to customer teams and internal support/BAU teams and support production hypercare.
Identify recurring customer requirements and provide structured feedback to Agent Development / Platform Engineering teams for reusable platform improvements.
Skill Requirements
Must Have Skills
Strong Python programming and software engineering fundamentals.
Hands-on experience with LLMs, RAG, prompt engineering, agentic workflows, tool/function calling, structured outputs, and multi-agent systems.
Hands-on experience with ADK and/or LangGraph/LangChain for production agent solutions.
Experience with Gemini Enterprise Agent Platform / Google Cloud AI services.
Strong REST API development and integration experience; comfortable working with JSON, YAML, SDKs, and enterprise APIs.
Working knowledge of OAuth, API keys, IAM, RBAC, service accounts, secrets management, authentication, and authorization.
Hands-on experience with Google Cloud and at least one production deployment model using Cloud Run or GKE.
Experience with Git, CI/CD, Docker, and production deployment practices.
Experience with logging, monitoring, tracing, debugging, and production incident troubleshooting.
Good understanding of databases, SQL, enterprise data sources, and RAG implementation patterns.
Good understanding of Responsible AI, security, data protection, and enterprise deployment requirements.
Strong communication skills and ability to work directly with customer technical stakeholders.
Experience with Gemini models, ADK, Agent Runtime, Vertex AI / Gemini Enterprise Agent Platform services, Cloud Observability, and GenAI evaluation.
Experience with MCP and enterprise tool integration.
Experience with GKE, Pub/Sub, BigQuery, Cloud Storage, Secret Manager, networking, and private connectivity.
Experience with ServiceNow or other ITSM platforms and IT infrastructure / CloudOps / SRE / AIOps use cases.
Experience supporting customer POCs, pilots, MVPs, production rollouts, and technical workshops.
Other Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or related field.
4–7 years of overall software engineering, cloud engineering, or equivalent technical experience.
At least 2 years of practical Generative AI / Agentic AI experience.
Demonstrated experience delivering an AI, automation, or cloud solution into production.
Customer-oriented and comfortable working in customer environments.
Strong ownership and bias for execution.
Strong troubleshooting and problem-solving ability.
Able to balance reusable platform capabilities with customer-specific requirements.
Comfortable working across AI engineering, cloud, integration, and operations.
Apply now
Information at a Glance
At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.
HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion.
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