Lead Software Engineer

Cognizant

Hyderabad

On-site

INR 1,200,000 - 2,000,000

Full time

11 days ago

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Job summary

Cognizant in Hyderabad seeks a Forward Deployment Engineer to design, develop and deploy GenAI-powered solutions across Java, React/Angular/TypeScript and Python stacks. You will integrate GenAI tools into enterprise SDLC pipelines and collaborate with Wells Fargo LOB teams to accelerate delivery.

You will lead onboarding, training and enablement, promoting best practices in prompt engineering and multi-agent workflows while providing hands-on troubleshooting and optimization to ensure scalable

Qualifications

  • GenAI / LLM expertise required.
  • Strong fullstack engineering experience across Java, React/Angular/TypeScript, Python.
  • Hands-on with CI/CD pipelines and developer tooling.
  • Cloud platforms knowledge (e.g., OCP, GCP).

Responsibilities

  • Design, develop and deploy GenAI-powered solutions using Devin Claude Code and Cursor.
  • Integrate GenAI tools into enterprise SDLC workflows (CI/CD internal platforms).
  • Partner with Wells Fargo LOB teams to accelerate delivery and improve end-to-end product lifecycle using GenAI capabilities.
  • Lead tool onboarding, training and enablement to drive adoption and best practices on GenAI usage.
  • Monitor and optimize tool usage, performance and efficiency; establish best practices for GenAI workflows.
  • Provide hands-on troubleshooting, performance tuning and scaling support.

Skills

GenAI / LLM Expertise
Fullstack Engineering
CI/CD & DevTools
Cloud platforms
Prompt engineering

Tools

Cursor
Copilot-equivalent tools
Claude / Anthropic models

Job description

Job Description:

Job Summary

Role Forward Deployment Engineer (FDE) GenAI / Full Stack

Key Responsibilities
  • Design develop and deploy GenAIpowered solutions using Devin Claude Code and Cursor
  • Integrate GenAI tools into enterprise SDLC workflows (CI/CD internal platforms)
  • Partner closely with Wells Fargo LOB teams to accelerate delivery and improve the endtoend product lifecycle using GenAI capabilities
  • Lead tool onboarding training and enablement driving adoption and best practices across teams
  • Monitor and optimiz
Responsibilities
  • Design develop and deploy GenAIpowered solutions using Devin Claude Code and Cursor
  • Integrate GenAI tools into enterprise SDLC workflows (CI/CD internal platforms)
  • Partner closely with Wells Fargo LOB teams to accelerate delivery and improve the endtoend product lifecycle using GenAI capabilities
  • Lead tool onboarding training and enablement driving adoption and best practices across teams
  • Monitor and optimize tool usage efficiency and performance outcomes
  • Establish and drive best practices for GenAI usage including prompt engineering and workflow integration
  • Provide handson troubleshooting performance tuning and scaling support
Required Technical Skills
  • Strong fullstack engineering experience (Java React/Angular/TypeScript Python)
  • Experience with distributed systems APIs Event Driven and microservices architecture
  • Handson experience with CI/CD pipelines and developer tooling
  • Strong understanding of cloud platforms (Ex. OCP GCP)
  • GenAI / LLM Expertise (MustHave)
  • Handson experience with
  • Devin
  • Claude / Anthropic models
  • Developer tools like Cursor / Copilotequivalent tools
  • Strong understanding of
  • Prompt engineering
  • RAG (Retrieval Augmented Generation)
  • Agentbased workflows / tool usage
  • Multiagent architectures
  • MCP (Model Context Protocol) servers and integrations
  • Agentic services and autonomous AI workflows including orchestration tool chaining and decisiondriven execution across systems
Soft Skills & Expectations
  • Ability to operate in fastpaced evolving environments with high adoption demands
  • Strong collaboration with crossfunctional and LOB teams
  • Ability to translate business needs into technical solutions
  • Experience working in enterprise environments with governance and compliance requirements
  • Passion for enabling teams and driving measurable productivity improvements

Requirements:

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