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Forward Deployed Engineer Intelligent Automation

  • Forward Deployed Engineer Intelligent Automation job type Posted on: Nov 10, 2026
  • Forward Deployed Engineer Intelligent Automation experience level SFE
  • Forward Deployed Engineer Intelligent Automation employment type Sunnyvale, California
  • Forward Deployed Engineer Intelligent Automation employment type Onsite
  • Forward Deployed Engineer Intelligent Automation salary CTC

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Job Title :

Forward Deployed Engineer Intelligent Automation

Job Type :

Contract

Job Location :

Sunnyvale California United States

Remote :

No

Jobcon Logo Job Description :

Forward Deployed Engineer Intelligent Automation

Role: FDE - GenAI/Agentic AI experienced developer + UiPath

Location: Sunnyvale, CA

Visa Requirement: Visa Independent candidates (US Citizens, Green Card holders) , Highly skilled H1B holders

looking for candidates who have min 12+ years of experience.

In order to fast-track evaluations, request to share profiles with the below questions answered by the candidates before sharing the profile from your end.

  • How many years of experience do you have working with Python?
  • How would you rate your Python proficiency on a scale of 1 to 10?
  • Can you briefly describe your hands-on experience with LLMs?
  • Have you worked on any agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI)? If yes, which ones? Explain the use case too
  • Can you explain one real-world GenAI use case you have built or contributed to?
  • What level of experience do you have with prompt engineering and LLM optimization techniques?

Job Summary

We are seeking a Forward Deployed Engineer (FDE) to build next-generation AI-powered intelligent automation solutions at the intersection of Generative AI, Agentic AI, This role operates at the front lines, working directly with business stakeholders to identify opportunities, rapidly prototype solutions, and deploy production-grade systems. The ideal candidate combines strong engineering expertise with customer engagement to deliver scalable, AI-driven automation solutions.

Key Responsibilities
  • Engage directly with business and technical stakeholders to identify automation and AI-driven transformation opportunities.
  • Design and implement Generative AI solutions using LLMs, prompt engineering, and fine-tuning techniques.
  • Develop and orchestrate Agentic AI workflows to enable autonomous and adaptive decision-making systems.
  • Integrate Generative AI capabilities with RPA pipelines to deliver end-to-end cognitive automation.
  • Develop scalable integrations with enterprise systems using APIs, web services, and data pipelines.
  • Rapidly prototype and iterate solutions from concept to production deployment.
  • Define architecture standards, best practices, and governance for AI-driven automation solutions.
  • Collaborate with cross-functional teams to influence product and platform enhancements.
  • Monitor, maintain, and optimize deployed automation and AI solutions.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • 15+ years of experience in software engineering, AI, or intelligent automation.
  • Strong programming skills in Python, C#, or equivalent languages.
  • Hands-on experience with Generative AI technologies (e.g., OpenAI, Azure OpenAI, Hugging Face, LangChain, LangGraph).
  • Experience in designing Agentic AI or multi-agent systems.
  • Experience with API integrations, REST services, and data formats such as JSON/XML.
  • Strong problem-solving and analytical skills in complex environments.
  • Excellent communication and stakeholder management abilities.

Preferred Qualifications
  • Experience with AI and RPA integrated solutions.
  • Knowledge of MLOps, LLMOps, and model monitoring practices.
  • Experience working with cloud platforms such as Azure, AWS, or GCP.
  • UiPath certifications (Advanced Developer or Solution Architect).
  • Experience in large-scale enterprise transformations.
  • Familiarity with governance and responsible AI practices.

Key Skills
  • Generative AI (LLMs, prompt engineering, fine-tuning)
  • Agentic AI and workflow orchestration
  • API and system integration
  • System design and architecture
  • Stakeholder collaboration and delivery

Jobcon Logo Position Details

Posted:

Nov 10, 2026

Reference Number:

86816-7542

Employment:

CTC

City:

Sunnyvale

Job Origin:

CIEPAL_ORGANIC_FEED

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Forward Deployed Engineer Intelligent Automation

Role: FDE - GenAI/Agentic AI experienced developer + UiPath

Location: Sunnyvale, CA

Visa Requirement: Visa Independent candidates (US Citizens, Green Card holders) , Highly skilled H1B holders

looking for candidates who have min 12+ years of experience.

In order to fast-track evaluations, request to share profiles with the below questions answered by the candidates before sharing the profile from your end.

  • How many years of experience do you have working with Python?
  • How would you rate your Python proficiency on a scale of 1 to 10?
  • Can you briefly describe your hands-on experience with LLMs?
  • Have you worked on any agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI)? If yes, which ones? Explain the use case too
  • Can you explain one real-world GenAI use case you have built or contributed to?
  • What level of experience do you have with prompt engineering and LLM optimization techniques?

Job Summary

We are seeking a Forward Deployed Engineer (FDE) to build next-generation AI-powered intelligent automation solutions at the intersection of Generative AI, Agentic AI, This role operates at the front lines, working directly with business stakeholders to identify opportunities, rapidly prototype solutions, and deploy production-grade systems. The ideal candidate combines strong engineering expertise with customer engagement to deliver scalable, AI-driven automation solutions.

Key Responsibilities
  • Engage directly with business and technical stakeholders to identify automation and AI-driven transformation opportunities.
  • Design and implement Generative AI solutions using LLMs, prompt engineering, and fine-tuning techniques.
  • Develop and orchestrate Agentic AI workflows to enable autonomous and adaptive decision-making systems.
  • Integrate Generative AI capabilities with RPA pipelines to deliver end-to-end cognitive automation.
  • Develop scalable integrations with enterprise systems using APIs, web services, and data pipelines.
  • Rapidly prototype and iterate solutions from concept to production deployment.
  • Define architecture standards, best practices, and governance for AI-driven automation solutions.
  • Collaborate with cross-functional teams to influence product and platform enhancements.
  • Monitor, maintain, and optimize deployed automation and AI solutions.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • 15+ years of experience in software engineering, AI, or intelligent automation.
  • Strong programming skills in Python, C#, or equivalent languages.
  • Hands-on experience with Generative AI technologies (e.g., OpenAI, Azure OpenAI, Hugging Face, LangChain, LangGraph).
  • Experience in designing Agentic AI or multi-agent systems.
  • Experience with API integrations, REST services, and data formats such as JSON/XML.
  • Strong problem-solving and analytical skills in complex environments.
  • Excellent communication and stakeholder management abilities.

Preferred Qualifications
  • Experience with AI and RPA integrated solutions.
  • Knowledge of MLOps, LLMOps, and model monitoring practices.
  • Experience working with cloud platforms such as Azure, AWS, or GCP.
  • UiPath certifications (Advanced Developer or Solution Architect).
  • Experience in large-scale enterprise transformations.
  • Familiarity with governance and responsible AI practices.

Key Skills
  • Generative AI (LLMs, prompt engineering, fine-tuning)
  • Agentic AI and workflow orchestration
  • API and system integration
  • System design and architecture
  • Stakeholder collaboration and delivery

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