{"id":3190176,"url":"https://alion.io/job/accenture-forward-deployed-ai-engineer-senior-manager","title":"Forward Deployed AI Engineer - Senior Manager","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2057,"ghost_share":0.001,"stale_share":0.124,"repost_share":0.005,"time_to_fill_p50_days":5,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada","Ottawa, Canada","Calgary, Canada","Vancouver, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":101000,"max_usd":175000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":65},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude","optional":false},{"name":"Context Engineering","optional":false},{"name":"OpenAI","optional":false},{"name":"RAG","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-19T00:00:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-24T08:14:42Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Role Description\nThis is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes.\nThe market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scales is bridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role.\nForward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry.\nKey Responsibilities\nOwn account-level AI transformation across the client enterprise - from platform selection and architecture through to enterprise-wide adoption and reinvention at scale\nHold full accountability for deployment outcomes at account level: time-to-value, reliability, adoption, and ROI - directly reported to client executive leadership\nDrive ambiguity to resolution at account scale: translate executive-level strategic intent into production AI systems operating across the enterprise\nDefine enterprise AI architecture standards and governance frameworks across the client organization, spanning identity, data, security, multi-platform integration, and AI lifecycle management\nOwn the relationship with client CTO, CFO, and CISO: shape AI investment strategy, board level narrative, and multi-year reinvention roadmap\nCodify reusable patterns and playbooks that define what enterprise AI reinvention looks like - assets that scale across markets, industries, and the FDE practice globally\nLead executive workshops, board-level engagements, and cross-practice architecture reviews that shape the client’s AI reinvention trajectory\nBasic Qualifications\nRequired qualifications\nBachelor’s degree or college diploma in a related field.\n10-15 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless architectures\nMinimum of 1 year of experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments\nMinimum of 7 years of experience working with AI platforms, including OpenAI, Claude, Vertex AI, or open-source models\nExperience building abstraction layers to manage multi-provider AI pipelines\n10-15 years of experience leading software engineering teams, including delivery oversight, resource allocation, and professional development of direct reports\nDemonstrated end-to-end delivery ownership in a client-embedded environment\nExperience working directly with enterprise clients on AI deployment initiatives\nExperience defining enterprise AI architecture standards, including identity, data, security, and AI lifecycle management\nExperience working with executive stakeholders (CTO, CFO, CISO) on AI strategy and investment decisions\nExperience leading executive workshops, board-level engagements, or cross-functional architecture reviews\nExperience developing reusable deployment frameworks or playbooks\nExperience contributing to the development of engineering standards, practice models, or capability frameworks\nCompensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location,\nrole, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time\nemployment, for roles that may be hired as set forth below. \nThe recruiting efforts for this position are intended to fill a brand new position.\nThe base pay range shown below is intended as a guideline to reflect the majority of offers for this role. \nIt does not represent a maximum limit - in some cases, actual compensation may exceed the range where appropriate.\nInformation on benefits is here.\nRole Location Annual Salary Range\nBritish Columbia/Ontario/New Brunswick $142,050 to $292,000\n#LI-NA-FY25 and #LI-MP\nAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. 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