Forward-Deployed AI Solutions Lead

Talentola

Dallas (TX)

On-site

USD 140,000 - 210,000

Full time

13 days ago
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Job summary

Talentola is seeking a Forward Deployed Engineer to bridge business intent with production-grade AI solutions. You’ll interact directly with stakeholders to translate ideas into deployable designs on an enterprise AI platform, ensuring governance, security, and measurable business outcomes.

You will own solution delivery from discovery to production, design agentic AI workflows, and align DevSecOps practices with AI governance.

Qualifications

  • Strong background in software engineering (backend, APIs, distributed systems) and production grade cloud native platforms.
  • Proficiency in at least one modern language (Python/Java/Go) with strong system design skills.
  • Experience with enterprise AI workflows, model governance, and secure deployment practices.

Responsibilities

  • Lead end-to-end delivery from discovery to MVP production rollout for AI-enabled solutions.
  • Design agentic workflows and orchestrate multi-agent systems with guardrails and human-in-the-loop controls.
  • Work with frontier models, context engineering, and RAG to optimize accuracy, latency, and cost.
  • Champion AI-first developer tooling and intelligent CI/CD/MLOps practices across teams.
  • Engage customers as a trusted technical advisor and translate business needs into scalable architectures.

Skills

Software engineering
Cloud native platforms
Python/Java/Go
System design
AWS/GCP/Azure
Agentic AI
LLMs / Foundation models
Prompt engineering
RAG & grounding
DevOps / MLOps

Tools

Cursor
GitHub Copilot
Semantic Kernel
LangGraph
CrewAI

Job description

Talentola is seeking a Forward Deployed Engineer to bridge business intent with production-grade AI solutions. You’ll interact directly with stakeholders to translate ideas into deployable designs on an enterprise AI platform, ensuring governance, security, and measurable business outcomes.

You will own solution delivery from discovery to production, design agentic AI workflows, and align DevSecOps practices with AI governance.

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