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

2+ years of professional experience; Experience working with Datadog; Hands-on experience as an AWS Cloud Engineer; Working knowledge of EKS / Terraform / Helm; Working Experience with Docker and Docker Swarm; Good understanding of AWS IAM roles and policies; Experience logging and monitoring AWS resources using CloudWatch logs; Experience working in a Linux environment; Proficient in Bash and / or Python scripting; A strong understanding of web technologies such as REST APIs; Working Experience with monitoring solutions, such as Grafana and Prometheus; Excellent oral and written communication skills; Customer-facing communication skills to effectively explain issues and RCAs to them; Experience in Product / Application Support for SaaS-based products; Understanding of APIs, Databases, Systems Architecture, and Design; Designing, implementing, and operating in a DevSecOps; Excellent communication skills, both written and verbal; Ability to work independently as well as within a collaborative environment; A technical aptitude with the desire to learn new and evolving technologies; Upper-Intermediate English level.