Back to results

Senior AI Forward Engineer

  • ALL, United States

Applications open in a new tab.

Job details

Apply by
Posting language
English
Posted

Original job description

CGI is looking for senior, client facing engineer who can help organizations put AI to work across the entire software delivery lifecycle. This person will sit at the intersection of AI architecture, agentic software engineering, and transformation advisory, working directly with client executives and delivery teams to redesign how software gets planned, built, tested, secured, modernized, and operated. The ideal candidate has real hands on experience embedding AI coding assistants, software engineering agents, and multi agent workflows into day to day delivery. From requirements and architecture through coding, testing, security, and release and knows how to turn that experience into a governed, repeatable capability rather than a one off pilot. Success means shaping an AI Native SDLC vision with senior leaders, standing up prototypes that prove the value, and building an adoption roadmap with measurable gains in speed, quality, security, and developer experience. CGI will consider candidates proximate to any U.S. office. CGI utilizes a hybrid working model and partners should be prepared to work on site at a CGI or client office, as needed. Your Future Duties and Responsibilities Client Advisory and AI Transformation

. Partner with client business and technology leaders to pinpoint where AI can drive real operational, financial, or delivery impact, and translate that into use cases, pilots, and production roadmaps. . Act as a senior technical advisor embedded with client and CGI teams, helping them move past experimentation into secure, governed, measurable AI adoption. . Lead discovery sessions, design workshops, architecture reviews, and executive briefings, and guide clients in rethinking operating models and workforce enablement for AI native ways of working.

AI Native SDLC and Agentic Delivery

. Lead enterprise adoption of AI Native SDLC, redesigning how teams handle discovery, coding, testing, security, and release with AI agents built in. . Set the governance layer that makes this safe to scale such as quality gates, human in the loop review, and adoption metrics like cycle time and test coverage. . Run prototypes that prove the value for agent assisted delivery, automated testing, legacy modernization and mentor teams on scaling them. . Experience with spec driven development workflows and tooling (e.g., GitHub Spec Kit, Kiro, BMad, OpenAPI/Gherkin) to translate requirements into validated, testable implementations.

AI Architecture, Business Value, and Thought Leadership

. Architect AI solutions that integrate into enterprise data, cloud, and DevSecOps environments, and lead rapid prototyping through MVP delivery. . Own technical decisions on model orchestration, agent orchestration, and AI observability, and connect them to measurable business outcomes. . Represent CGI in client and executive conversations, mentor architects and engineers, and build CGI's reusable AI delivery assets.

Required Qualifications to Be Successful in This Role

. 10+ years in enterprise technology, software engineering, or IT consulting, with 5+ years in a senior client facing role. . Proven track record leading AI Native SDLC adoption in enterprise delivery environments. . Hands on experience designing or using AI agents for coding, testing, code review, and remediation. . Fluency with AI coding tools (i.e. Copilot, Cursor, Windsurf, Amazon Q, Claude Code, or similar). . Ability to set governance, quality gates, and adoption metrics for AI assisted engineering teams. . Strong hands on expertise with LLMs, RAG, and enterprise AI platforms (Bedrock, Vertex AI, Azure OpenAI, LangChain). . Solid grounding in cloud native architecture, APIs, microservices, and cybersecurity. . Working knowledge of vector databases, prompt engineering, and agent orchestration. . Ability to quickly learn a client's business and spot where AI drives real transformation. . Excellent communicator, comfortable translating technical concepts for executives and engineers alike. . Experience leading workshops, demos, and executive presentations with a consulting mindset. . Bachelor's degree in a related technical field; advanced degree preferred.

Preferred Qualifications

. Experience scaling AI Native SDLC across multiple teams or delivery portfolios. . Background in public sector, healthcare, financial services, or other regulated industries. . Experience supporting proposals, solutioning, or strategic pursuits. . Familiarity with responsible AI, model risk, and enterprise automation platforms. . Active or prior U.S. government security clearance.

Skills AI Native SDLC | Agentic Software Engineering | AI Assisted Development | DevSecOps | Platform Engineering | Generative AI | AI Architecture | Retrieval Augmented Generation | Agentic AI | Intelligent Automation | Cloud Architecture | Enterprise Architecture | Responsible AI | Technical Leadership | Client Advisory | Business Transformation | Executive Communication | Consulting What You Can Expect from Us Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect, and belonging. We call ourselves CGI Partners rather than employees because we benefit from our collective success and help shape the company's direction from day one. Your work creates value here. You'll build trusted relationships with teammates and clients, tap into CGI's global capabilities, and grow your career with leaders who care about your development and well being. Come join one of the largest IT and business consulting firms in the world. CGI expects to accept applications through 11/30/2026.

#DICE

Other Information:

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $89,600.00 $223,200.00. CGI's benefits are offered to eligible professionals on their first day of employment to include:

. Competitive compensation including profit participation program . Comprehensive medical, dental, and vision benefits . Basic life and accidental death & dismemberment insurance . Matching contributions through 401(k) plan, and CGI share purchase plan . Flexibility and paid accrued vacation leave, ranging from 10 to 20 days per year, based on job level, years of relevant prior experience, and years of service . 10 paid holidays per year . At least 80 consecutive hours of paid sick/safe leave (except where applicable state/local law requires more) . Paid parental leave, ranging from 20 to 70 consecutive business days based on circumstances of leave and applicable laws . Bereavement leave, ranging from 1 to 7 days per year based on relationship. . Paid jury duty leave, up to time summoned . Learning opportunities and tuition assistance . Wellness and Well being programs

For more detailed information about our benefits offerings visit Benefits | CGI Careers

Please note that the benefits listed above are subject to change based on the specific terms and conditions of the contract being supported.

More about this job

Skills

  • CGI
  • Test automation
  • GitHub
  • Leadership
  • Microsoft Azure
  • LangChain
  • Microservices
  • Cybersecurity
  • Presentation skills
  • Communication skills
  • Teamwork

Report this job