Forward Deployed Engineer
JD :
Forward Deployed Engineer (AI, Hyperscaler Cloud & DevOps)
Role Summary
We are seeking a hands-on Forward Deployed Engineer (FDE) with expertise in Generative AI, Hyperscaler Cloud Platforms, DevOps, and Platform Engineering. The role involves designing, deploying, integrating, and operationalizing AI agents and cloud-native solutions across enterprise environments while ensuring reliability, scalability, security, and operational excellence.
Key Responsibilities
- Design, develop, and deploy AI/GenAI agents using Agentic AI frameworks and LLM technologies.
- Build and operationalize agent workflows for automation, incident response, RCA, deployment validation, and reliability engineering.
- Deploy and manage AI solutions across hyperscaler cloud platforms (Azure, AWS, GCP) and Kubernetes environments.
- Integrate agents with CI/CD pipelines, observability tools, ITSM platforms, code repositories, and enterprise systems.
- Develop reusable APIs, connectors, prompt templates, and automation frameworks.
- Implement AI governance controls including guardrails, access controls, audit logging, monitoring, cost optimization, and rollback mechanisms.
- Own deployment, troubleshooting, observability, and continuous improvement of AI agent platforms.
- Collaborate with DevOps, SRE, Security, Platform, and Engineering teams to deliver production-ready solutions.
Required Skills & Experience
- 5+ years of experience in Software Engineering, Cloud Engineering, DevOps, SRE, AI/ML Engineering, or related roles.
- Strong programming skills in Python with experience building AI/GenAI applications.
- Hands-on experience with LangChain, LangGraph, Agentic AI frameworks, and LLM technologies.
- Experience deploying AI/GenAI solutions in production environments.
- Strong understanding of:
- Prompt Engineering
- RAG
- Vector Databases
- Tool Calling
- Agent Orchestration
- Structured Outputs
- Strong experience with one or more Hyperscalers: Azure, AWS, or GCP.
- Hands-on experience with:
- Kubernetes (AKS/EKS/GKE)
- Docker
- Terraform
- GitHub Actions / Azure DevOps / Jenkins
- CI/CD and Infrastructure as Code (IaC)
- Experience with observability and monitoring tools such as Grafana, Prometheus, OpenTelemetry, Splunk, Dynatrace, or Datadog.
- Understanding of DevOps, SRE, cloud reliability, security, and operational best practices.
Preferred Skills
- Multi-cloud architecture and deployment experience across Azure, AWS, and GCP.
- Experience with AI Reliability Engineering, LLMOps, MCP, Agent Gateways, and Responsible AI practices.
- Exposure to .NET or Java application development.
- Experience working in enterprise or regulated environments.
- Certifications in Azure, AWS, GCP, Kubernetes, AI Engineering, or DevOps.
Behavioral Attributes
- Strong ownership mindset with a "get things done" attitude.
- Excellent problem-solving and multitasking abilities.
- Ability to work directly with client and platform teams.
- Curious, adaptable, and eager to learn emerging AI and hyperscaler technologies.
Mandatory Skills: GenAI Consulting for Apps & Infra .
Experience: 5-8 Years .
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.