AI Strategist

** AI Strategist*
* ** Category:
** Analytics and Emerging Digital Technologies

** Main location:
** United States, Texas, Houston

** Position :
** J

*
* Employment Type:

** Full Time

** Position

Description:

*
* Join CGI as a Houston-based AI Strategist and help clients turn AI ambition into deployed, value-generating business capabilities. This is an exciting opportunity for a strategic, technically fluent, and delivery-oriented AI leader to drive AI transformation across Energy, including oil and gas, chemicals, utilities, and industrial clients. The ideal candidate brings executive advisory credibility, deep AI and data fluency, product thinking, and the ability to move from strategy to pilots, MVPs, production solutions, and scaled enterprise deployments.

You will play a critical role in shaping CGI's AI growth in the Houston and Energy markets. You will be accountable for converting AI opportunities into funded, delivered, reusable, and measurable solutions that create enterprise value.

This position is located in our Houston, Texas office however a hybrid working model is acceptable.  The requirement is an average of 3 days onsite at either client location and/or the CGI Houston, Texas office.

Your future duties and responsibilities:

AI Strategy and Transformation Leadership

. Define enterprise AI strategies, value pools, and transformation roadmaps for Energy and Industrials clients

. Align AI initiatives to business outcomes, operational KPIs, financial value, and ROI models

. Design AI operating models across governance, talent, platform, delivery, funding, and adoption

. Advise CIOs, CTOs, business executives, and boards on AI adoption, risk, competitive differentiation, and enterprise readiness

. Help clients prioritize high-impact AI use cases and sequence them into executable transformation programs

AI Product Mindset and Capability Building

. Design reusable AI products, accelerators, frameworks, and industry capabilities rather than one-off solutions

. Drive use-case industrialization, platform-based scaling, and repeatable delivery models

. Shape reusable components such as agents, copilots, knowledge workflows, orchestration patterns, and automation playbooks

. Establish product thinking within client organizations, including roadmaps, backlogs, feature prioritization, value tracking, and continuous improvement loops

. Help clients mature from isolated AI experiments to scalable enterprise AI capabilities

Delivery Leadership: POC to Scale

. Translate AI strategies into POCs, pilots, MVPs, production solutions, and scaled enterprise deployments

. Define solution architecture patterns, data requirements, integration models, adoption plans, and operating considerations

. Lead hands-on shaping of GenAI, agentic AI, automation, advanced analytics, and AI-enabled workflow solutions

. Ensure ideas move beyond concepts and workshops into deployed capabilities that generate measurable value

. Work with clients and CGI teams to convert strategy into funded delivery opportunities and long-term transformation roadmaps

Energy Industry Specialization

. Apply deep Energy and Industrials expertise across upstream, midstream, downstream, chemicals, petrochemicals, utilities, asset-intensive operations, and industrial environments

. Identify high-value AI use cases in predictive maintenance, turnaround planning, asset reliability, field operations, safety, engineering knowledge capture, contract intelligence, logistics, supply chain, commercial optimization, and workforce productivity

. Navigate OT, industrial, and safety-critical environments with awareness of production risk, human-in-the-loop requirements, fail-safe design, and operational constraints

. Engage credibly with operators, engineers, technologists, and executives

. Translate Energy-specific business challenges into AI-enabled operating improvements and measurable outcomes

Required qualifications to be successful in this role:

We are seeking an AI Strategist who is fluent across modern AI, data, cloud, automation, and enterprise technology ecosystems and can lead the design and delivery of future-forward solutions. The ideal candidate will:

. Demonstrate strong…