AI Strategist

CGI•Houston, TX

8h•Hybrid

About The Position

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.

Requirements

Fluent across modern AI, data, cloud, automation, and enterprise technology ecosystems and can lead the design and delivery of future-forward solutions.
Demonstrate strong working knowledge of AI/ML, Generative AI, LLMs, copilots, RAG, embeddings, prompt engineering, evaluation, model operations, and AI application architecture
Guide the design of agentic AI systems, orchestration frameworks, multi-agent workflows, and human-in-the-loop automation
Apply machine learning, advanced analytics, and intelligent automation concepts to real-world business problems
Understand modern data platforms and services, including Snowflake, Databricks, data lakes, data governance, metadata, and analytics stacks
Lead solution shaping across Azure, AWS, Google Cloud Platform, and related AI ecosystems, including Azure OpenAI and cloud-native AI services
Understand enterprise systems and integration patterns involving SAP, EAM, CMMS, ServiceNow, ERP platforms, workflow platforms, APIs, and operational systems
Make build vs. buy vs. partner decisions based on business value, technical feasibility, risk, scalability, and time to market
Embed AI governance, cybersecurity, compliance, model risk management, responsible AI, and ethical AI principles into solution design
Align AI programs to frameworks such as NIST AI RMF and ISO 42001 where appropriate
Stay current on emerging AI technology trends and translate those trends into actionable offerings, architectures, and market solutions
Ability to move fluidly from executive strategy discussions to solution architecture, delivery planning, and implementation oversight
Strong executive presence, communication skills, business judgment, and consultative problem-solving capability
Demonstrated ability to create value cases, roadmaps, business narratives, and delivery plans that resonate with senior stakeholders
10+ years of experience in consulting, technology, digital transformation, data, AI, or enterprise solution delivery roles
5–7+ years of experience working with Energy, Industrials, oil and gas, chemicals, utilities, or asset-intensive clients
Bachelor's degree required in engineering, computer science, information systems, business, or a related field
Ability to travel if needed

Responsibilities

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
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
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
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