Forward Deployed Engineer

Indotronix Avani Group
Cincinnati, OH, United States
1 day ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Data Intelligence Python (Programming Language) Machine Learning NoSQL Salesforce.Com SAP (Applications) Software Deployment SQL Databases
+8 more
Data Streaming Unstructured Data Enterprise Software Applications Kubernetes AutoGen Api Design Docker Programming Languages

Job description

Step into a high-impact, client-facing engineering role at the intersection of AI innovation and real-world business transformation. As a Senior Forward Deployed Engineer, you’ll embed directly with enterprise stakeholders, architect cutting-edge AI-first solutions, and drive measurable business outcomes from day one. This is a unique opportunity to combine deep domain expertise with hands-on technology leadership-delivering value in weeks, not months., Lead end-to-end solution engagements: problem definition, architecture, build, deployment, and value measurement

  • Rapidly design and deploy AI-powered systems (LLM agents, RAG pipelines, GenAI workflows, intelligent automation) within enterprise environments
  • Translate complex business challenges into actionable technical requirements and strategic trade-offs
  • Engage directly with C-suite and operational leaders as a trusted advisor and technical translator
  • Build, iterate, and deliver working prototypes in sprint cycles, prioritizing what drives business impact
  • Leverage your domain expertise to challenge assumptions, influence decisions, and develop replicable playbooks
  • Operate with startup rigor: thrive in ambiguity, own outcomes, and deliver results with limited oversight

Requirements

12+ years combined industry and technology experience, including hands-on roles inside your domain (Finance, Manufacturing, Food/FMCG, or Agribusiness/Commodities)

  • Proven transformation track record-ownership of initiatives from ideation to adoption
  • AI and GenAI expertise: hands-on with LLM integration (OpenAI, Claude, Gemini), prompt engineering, RAG, agent orchestration (LangChain, Crew AI, AutoGen), fine-tuning
  • Proficient in Python plus at least one additional programming language
  • Data fluency: SQL/NoSQL, data modeling, pipeline design, BI tools, structured/unstructured data
  • Cloud infrastructure: Azure (preferred), AWS, or GCP; Docker, Kubernetes, API design, enterprise security
  • Enterprise systems literacy: ERP, CRM, SAP, Salesforce, or trading platforms-understand business processes and data flows
  • Exceptional communication skills-executive-level clarity, bilingual in technical and business conversations
  • Demonstrated ability to thrive in fast-paced, resource-constrained, ambiguous environments

Preferred Skills

  • Experience architecting full-stack solutions
  • Advanced ML/AI research or production deployment background
  • Exposure to multiple business domains or cross-industry transformation work

Benefits & conditions

100% Remote-work from anywhere in the U.S.

  • Flexible contract-to-hire structure
  • Direct impact on high-visibility, strategic transformation projects
  • Collaborate with industry leaders and pioneering technologists
  • Accelerated career growth in a role that builds executive and technical credibility

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Good distractions

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