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AI Solutioning Consultant

Job in Houston, Harris County, Texas, 77246, USA
Listing for: bakerhughes
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software), IT Consultant
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below
AI Solutioning Consultant Do you have experience with and passion for Artificial Intelligence? Would you like to experience Industrial Artificial Intelligence (AI) at its best? Join our innovating Artificial Intelligence Team

The Solutioning Consultant is responsible for owning the strategy, design, and delivery of advanced automation and AI-driven solutions that transform business processes s role works at the intersection of technology, strategy, and innovation—partnering closely with business leaders to identify high-impact opportunities, architect agentic frameworks, and bring the art of the possible to life.

Partner with the best

AI Solutioning Consultant role co‑leads the development of an enterprise‑wide enablement program that teaches employees how to design solutions with AI in mind‑elevating the organization’s digital and AI literacy.

As a Solutioning Consultant, you will be responsible for:

  • Partnering with business units to identify high-value automation and AI opportunities that improve efficiency, reduce risk, and enhance decision-making.

  • Assessing processes, workflows, and operational pain points to determine the best‑fit automation or agentic solution.

  • Translating business problems into solution architectures centered around AI agents, orchestrations, and modern automation capabilities.

  • Architecting conceptual AI‑driven solutions, including agentic frameworks, workflow automations, integrations, and user experiences.

  • Evaluating solution options across low‑code/no‑code tools, enterprise AI platforms, integration layers, and data sources.

  • Developing prototypes, concept demonstrations, and reference architectures to showcase the art of the possible.

  • Ensuring designs align with enterprise standards for security, compliance, data governance, and scalability.

  • Leading the build‑out of AI and automation solutions in partnership with engineering, integration teams, and data specialists.

  • Ensuring solutions are thoroughly tested, documented, and prepared for operational rollout.

  • Providing ongoing enhancements and optimization recommendations based on business feedback and solution performance.

  • Serving as a trusted advisor to business executives, translating complex AI concepts into clear, actionable insights.

  • Facilitating workshops, ideation sessions, and roadmap planning with business units and technical teams.

  • Supporting Product Management in defining capabilities, features, and user requirements for future AI/automation tools.

  • Working closely with Data, Architecture, Integrations, Cybersecurity, and Product teams to ensure solution alignment and technical readiness.

  • Partnering with Change Management and Training teams to ensure smooth adoption and organizational readiness.

Fuel your passion

To be successful in this role you will:

  • Have a Bachelor’s degree in Computer Science, Engineering, Business, Information Systems, or related field.

  • Have 7–10+ years of experience in solution engineering, automation, consulting, AI product development, or enterprise digital transformation.

  • Have strong experience architecting solutions using AI, automation, low‑code/no‑code platforms, and integrations.

  • Have ability to engage with both technical and business stakeholders, translating requirements into actionable solution designs.

  • Have demonstrated experience evaluating business processes and designing scalable, technology‑enabled improvements.

  • Have excellent communication, consulting, and facilitation skills.

  • Have experience with platforms such as Microsoft Copilot Studio, UIPath, Gemini/Vertex tools, or similar automation/AI ecosystems.

  • Have background in process optimization (Lean, Six Sigma) or digital transformation.

  • Have understanding of data governance, responsible AI, and enterprise security requirements.

  • Have…

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