(Quedan 3 Días) AI Consultant (Lead) (Medellín)...

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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