AI Forward Deployable Engineer

Insight is building a Forward Deployed Engineering team to work directly with strategic enterprise customers designing and implementing AI solutions with measurable business impact As a founding member of this team you will deploy generative AI technologies including LLM workflows and agentic systems to solve high-stakes problems across industries such as healthcare finance defense and retail You will work in small fast-moving teams to rapidly prototype and deliver scalable solutions collaborating closely with Sales Solutions Engineers and Customer Success The role sits at the intersection of hands-on software engineering and customer engagement requiring both technical depth and strong client-facing skills

• Collaborate with clients to understand their strategic objectives technical requirements and operational constraints
• Design prototype and deploy AI-powered proof-of-concepts using generative models e.g. GPT DALL-E and agentic systems tailored to specific client needs
• Build end-to-end pipelines for deploying AI solutions on client infrastructure ensuring scalability security and performance
• Apply an experiment-driven approach to rapidly test hypotheses and refine prototypes in collaboration with client teams
• Work with Sales Applied Research Product Development and Customer Success teams to ensure seamless project execution
• Document best practices and lessons learned from client engagements to contribute to internal knowledge bases
• Mentor junior engineers on the application of generative and agentic AI technologies in real-world scenarios

• Strong proficiency in Python or JavaScript with experience in frameworks such as Tensor Flow or Py Torch
• Hands-on experience with generative AI models e.g. GPT-4 5 agentic systems or reinforcement learning frameworks
• Familiarity with deploying machine learning models in production using cloud platforms e.g. AWS Azure or on-premise systems
• Proven ability to translate abstract business challenges into concrete technical solutions using generative AI
• Strong analytical skills to evaluate and optimize model performance for specific use cases
• Exceptional communication skills for explaining complex AI concepts to diverse stakeholders
• Ability to build trust-based relationships with clients and navigate ambiguous problem domains
• Flexibility to work across multiple industries and willingness to travel or work on-site with clients
• At least 3 years of experience in software engineering or applied machine learning roles
• Up-to-date knowledge of AI offerings and market developments

• Direct experience working with customers on the development of AI-driven applications
• Entrepreneurial mindset with a track record of delivering measurable business impact through innovative solutions
• Strong proficiency in Python or JavaScript, with experience in frameworks such as Tensor Flow or PyTorch. Hands-on experience with generative AI models (e.g., GPT-4/5), agentic systems, or reinforcement learning frameworks. Familiarity with deploying machine learning models in production using cloud platforms (e.g., AWS, Azure) or on-premise systems. Proven ability to translate abstract business challenges into concrete technical solutions using generative AI.
  
  Strong analytical skills to evaluate and optimize model performance for specific use cases. Exceptional communication skills for explaining complex AI concepts to diverse stakeholders. Ability to build trust-based relationships with clients and navigate ambiguous problem domains. Flexibility to work across multiple industries and willingness to travel or work on-site with clients. At least 3 years of experience in software engineering or applied machine learning roles.
  
  Up-to-date knowledge of AI offerings and market developments.
• Direct experience working with customers on the development of AI-driven applications. Entrepreneurial mindset with a track record of delivering measurable business impact through innovative solutions.