Senior AI Solutions Engineer
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Key skills for this role
About the Role
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and.
Key Skills for This Role
Responsibilities
- Partner with Sales Teams to understand customer missions and map capabilities
- Design and implement end to end agentic AI MVPs, including multi agent orchestration, tool use, memory, MCP servers, and agent observability
- Build intuitive, enterprise grade UIs using React and modern design systems
- Deliver engaging live demos that tell a clear story: problem > agentic solution > business impact
- Act as a trusted technical advisor across the sales team
- Support conversations around AI governance, data security, model transparency, and responsible AI practices
- Provide structured feedback on customer needs to Product, Marketing, and Enablement teams
- Contribute reusable patterns, templates, and internal best practices
Requirements
- 6 8+ years of experience in sales engineering, applied AI, hands on technical consulting, customer facing software engineering, or technical product roles
- Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience)
- Hands on experience building agentic AI applications using modern LLM frameworks, orchestration patterns, and backend engineering (Python, TypeScript, APIs)
- Experience designing MCP servers, external system integrations, and utilizing AI evaluation/tracing tools
- Proficiency with React and modern frontend tooling
- Excellent communication and demo skills
- Ability to travel up to 25% on average
- Prior experience applying AI or complex software solutions within the Oil & Gas industry is a strong plus
Full Job Posting
Company Overview
- DataRobot delivers AI that maximizes impact and minimizes business risk.
- Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale.
- The Pre Sales Senior AI Solutions Engineer plays a pivotal role in helping enterprise customers see, feel, and believe in the value of agentic AI and ML platforms.
Key Responsibilities
- Partner with Sales Teams: Understand customer missions, strategic priorities, and constraints through short discovery sessions.
- Map Capabilities: Translate business needs into platform capabilities, tailoring messaging for different personas.
- Identify Value: Pinpoint high leverage automation and decision points where agentic AI can create immediate, visible value.
- Rapid MVP Build: Design and implement end to end agentic AI MVPs, including multi agent orchestration, tool use, memory, MCP servers, and agent observability.
- Deployment Readiness: Define key technical requirements, recommend deployment models, and advise on data readiness.
- Frontend & UX: Build intuitive, enterprise grade UIs using React and modern design systems.
- Architectural Soundness: Select and integrate appropriate LLMs, frameworks, and agent architecture.
- Outcome Oriented Demos: Deliver engaging live demos that tell a clear story.
- Trusted Advisor: Act as a technical pillar across the sales team.
- Iterative Refinement: Iterate rapidly based on customer feedback during pilots, workshops, or proofs of value.
- Security & Governance: Support conversations around AI governance, data security, model transparency, and responsible AI practices.
- Internal Feedback Loop: Provide structured feedback on customer needs, procurement hurdles, and architectural gaps.
Knowledge, Skills, and Abilities
- Demonstrated success supporting sales pursuits with deep technical expertise and solution design.
- Strong ability to translate agentic AI and ML platform capabilities into compelling value propositions.
- Prior experience turning rapid MVPs into production applications or long term enterprise platforms.
- Hands on experience building agentic AI applications using modern LLM frameworks, orchestration patterns, and backend engineering (Python, TypeScript, APIs).
- Experience designing MCP servers, external system integrations, and utilizing AI evaluation/tracing tools.
- Proficiency with React and modern frontend tooling to create clean, trustworthy user interfaces.
- Excellent communication and demo skills; proven ability to present complex AI concepts in a clear, grounded, and value driven manner.
- Exceptional ability to move from ambiguity to clarity quickly.
- Bias toward action and iteration; comfortable working in a fast paced environment.
Education & Experience
- 6 8+ years of experience in sales engineering, applied AI, hands on technical consulting, customer facing software engineering, or technical product roles.
- Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
- An advanced degree in AI/ML is a plus.
- Prior experience applying AI or complex software solutions within the Oil & Gas industry is a strong plus.
- Ability to travel up to 25% on average to customer meetings, workshops, industry conferences, and events.
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