AI Consultant (Hands-On) - Rapid Prototyping & Proof of Concept
Remote
AI Summary
Seeking an AI Consultant to drive rapid experimentation and proof of concepts for priority business use cases. The role focuses on building quick-turn AI pilots and demos using AWS Bedrock, Databricks, and low-code tools. Ideal candidate has 4-7+ years of AI engineering experience and strong Python/SQL skills.
Key Highlights
Build and iterate on quick-turn AI PoCs, pilots, and demos
Use AWS Bedrock & Agentcore for AI agent development
Leverage Databricks for data exploration and integration
Partner with product, analytics, and business teams
Key Responsibilities
Build and iterate on quick-turn AI PoCs, pilots, and demos to validate ideas, workflows, and agent-based experiences.
Use AWS Bedrock & Agentcore to build AI agents with foundation models, agents, and knowledge integrations.
Leverage Databricks for lightweight data exploration, preparation, and integration into AI experiments.
Favor low code or configuration-based approaches to accelerate development and iteration.
Connect AI components across tools using simple orchestration patterns sufficient for pilots and demonstrations.
Partner closely with product, analytics, and business teams to shape ideas, demo solutions, gather feedback, and refine concepts.
Clearly document PoCs, agent behaviors, findings, and recommendations for future scale-up evaluation.
Technical Skills Required
Benefits & Perks
Health insurance
Vision insurance
Dental insurance
Life insurance
Disability insurance
100% remote work
Nice to Have
Familiarity with core AI/ML concepts (e.g., LLMs, embeddings, prompt engineering)
Exposure to agent-based AI patterns or evaluation frameworks
Basic understanding of orchestration or automation tools
Prior experience supporting early-stage AI pilots or innovation programs
Job Description
PAY: $115-125/hour W2. Our company offers our consultants a suite of benefits after a qualification period including health, vision, dental, life and disability insurance.
100% remote role no onsite work.
W2 Candidates only
Description
- We are seeking an AI Consultant (hands-on) to support rapid experimentation, proofs of concept (PoCs), and pilot AI solutions that accelerate priority business use cases. This role is focused on building quickly, testing ideas, and demonstrating value, leveraging existing internal platforms such as AWS, Databricks, Copilot studio & Power Automate rather than heavy production engineering.
- The ideal candidate is hands on, pragmatic, and comfortable working in early stage, exploratory AI efforts where speed and learning matter most.
- Build and iterate on quick-turn AI PoCs, pilots, and demos to validate ideas, workflows, and agent-based experiences. Emphasis is on speed, usability, and learning—not production hardening.
- Familiar with agentic harness to configure and test AI agents in a controlled, repeatable way. This will include defining agent roles, prompts, tools, light weight orchestration and simple memory/state handling, running structured experiments to test agent behaviors across scenarios, iterating on configurations to improve usefulness, reliability, and clarity, and comparing different agent patterns (e.g., single vs. multi-step flows) and capturing learnings.
- Use AWS Bedrock & Agentcore to build AI agents with foundation models, agents, and knowledge integrations to support use cases such as summarization, insight generation, content drafting, and workflow assistance.
- Leverage Databricks for to build AI agents, lightweight data exploration, preparation, and integration into AI experiments—using notebooks and existing datasets to move fast.
- Favor low code or configuration-based approaches (prompt templates, reusable configs, simple orchestration patterns) to accelerate development and iteration.
- Connect AI components across tools (e.g., Bedrock ↔ Databricks ↔ APIs, multiple agents within same environment) using simple orchestration patterns sufficient for pilots and demonstrations.
- Partner closely with product, analytics, and business teams to shape ideas, demo solutions, gather feedback, and refine concepts.
- Clearly document PoCs, agent behaviors, findings, and recommendations so successful pilots can be evaluated for future scale-up.
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- 4-7+ years of experience in AI engineering, data engineering, AI enablement, or applied technology roles.
- Hands-on experience working with AWS (including AWS Bedrock or similar managed AI services).
- Working experience with Databricks (Genie spaces, Playground, etc.)
- Strong Python and SQL skills; comfortable working in notebooks and lightweight scripts.
- Experience building quick prototypes and explaining technical concepts clearly to non-technical stakeholders.
- Ability to work independently and move quickly in a remote, fast paced environment.
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- Familiarity with core AI/ML concepts (e.g., LLMs, embeddings, prompt engineering).
- Exposure to agent-based AI patterns or evaluation frameworks.
- Basic understanding of orchestration or automation tools.
- Prior experience supporting early-stage AI pilots or innovation programs.
The Fountain Group is a nationwide staffing firm with over 80 Fortune 100-500 clients. Since 2001, TFG has maintained a consistent standard of excellence, and our work is broadly recognized every year through numerous industry performance awards. Our success is a team effort.
Browse our website below for additional information on our company.
The Fountain Group
3407 W Martin Luther King Jr. Dr. Tampa, FL 33607
“We work in Life Sciences, Clinical, Engineering, IT, and more. Above all, we specialize in people.”
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