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Entry Level Forward Deployed Engineer Jobs Near Me

At Deloitte, Lead Forward Deployed Engineers (LFDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based ...

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery ...

At Deloitte, Senior Forward Deployed Engineers (SFDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based ...

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Entry Level Forward Deployed Engineer information

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$69.4K

$118K

How much do entry level forward deployed engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for entry level forward deployed engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.
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What cities are hiring for Entry Level Forward Deployed Engineer jobs? Cities with the most Entry Level Forward Deployed Engineer job openings:
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A map of the United States highlighting the number of Entry Level Forward Deployed Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Entry Level Forward Deployed Engineer job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Forward Deployed Engineer

Tata Consultancy Service Limited

Milford Center, OH • On-site

$120K - $160K/yr

Full-time

Re-posted yesterday


Job description

Must-Have Skills
  • Strong AI/ML engineering and software development experience
  • Expertise in LLMs, Gemini APIs, Vertex AI, and Google Cloud
  • Experience building agentic AI workflows, copilots, and intelligent agents
  • Hands-on implementation of RAG systems and vector databases
  • Strong prompt engineering skills and applied analytics knowledge
  • Ability to integrate AI solutions with enterprise systems
  • Experience with middleware, orchestration layers, and API integrations
  • Knowledge of AI observability, evaluation frameworks, guardrails, and security controls
  • Strong problem-solving, debugging, and rapid prototyping ability
  • Excellent communication and stakeholder management skills
  • Ability to thrive in fast-paced, ambiguous environments with ownership mindset

Key Responsibilities
  • Develop and deploy AI solutions using Gemini Enterprise, Vertex AI, and Google Cloud
  • Build prototypes, POCs, and production-grade AI applications rapidly
  • Design and implement agentic workflows, RAG systems, and AI orchestration pipelines
  • Integrate LLMs with enterprise platforms and build middleware layers
  • Create intelligent copilots, multi-modal demos, and automation workflows
  • Ensure AI systems meet standards for reliability, s ecurity, explainability, and compliance
  • Implement monitoring, evaluation, and human-in-the-loop frameworks
  • Work directly with clients to gather requirements and design AI solutions
  • Lead technical discussions, discovery workshops, and solution demos
  • Act as a bridge between business stakeholders and engineering teams