AI Consultant (Lead) ID35730

Job Description

AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! : )

WHAT YOU WILL DO

• Partner with sales and business teams to identify client needs and participate in sales calls to shape compelling AI offerings;
• Collaborate with clients to define AI roadmaps, prioritize use cases, and translate business needs into actionable AI solutions;
• Design and lead proof-of-concepts (PoCs) using Generative AI (e.g., LLMs, RAG pipelines, agents) and Predictive AI (e.g., forecasting, classification, clustering);
• Act as a trusted strategic advisor, helping clients understand where AI fits in their product or data journey;
• Collaborate with internal teams to ensure a smooth transition from early consulting phases to implementation;
• Contribute to proposals, workshops, and documentation for AI adoption initiatives;
• Optionally : Evangelize our capabilities by writing, speaking, or mentoring internally.

MUST HAVES

NICE TO HAVES

THE BENEFITS OF JOINING US

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Requirements

5+ years of AI / ML experience, with proven delivery of both predictive and generative AI solutions in business settings; Demonstrated consulting experience (e.g., client-facing, pre-sales support, fractional CTO work, or agency consulting); Hands-on experience with Generative AI tools and models (e.g., OpenAI GPT, Claude, open-source LLMs, vector databases, LangChain / RAG architectures); Experience building or advising on predictive modeling pipelines, using tools like scikit-learn, XGBoost, Prophet, etc.; Strong communication skills : able to present to executives and business users, explain technical concepts, and tell compelling data stories; Experience with cloud platforms (AWS, GCP, or Azure) and MLOps best practices is a plus; Self-starter mentality with the ability to kickstart projects, shape ambiguous goals, and move fast with confidence; Upper-Intermediate English level.