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AI Consultant (Lead) ID35730

AI Consultant (Lead) ID35730

AgileEngineUsaquen, DC, co
Hace más de 30 días
Tipo de contrato
  • Quick Apply
Descripción del trabajo

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

  • 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.
  • NICE TO HAVES

  • Prior experience in fractional CTO roles or acting as a strategic technical advisor;
  • Background in startup consulting, product ideation, or venture-backed AI / ML companies;
  • Experience with multi-modal AI (e.g., text, image, audio) or agent-based systems;
  • Public speaking, writing, or AI evangelism contributions.
  • THE BENEFITS OF JOINING US

  • Professional growth : Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation : We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
  • A selection of exciting projects : Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
  • Flextime : Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
  • Your application doesn't end here! To unlock the next steps, check your email and complete your registration on our Applicant Site . The incomplete registration results in the termination of your process.

    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.

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