{"id":1748634,"url":"https://alion.io/job/calgary-ab-senior-ai-engineer-director","title":"Senior AI Engineer - Director","company":{"id":1862112,"name":"Vialto Partners","domain":"vialtopartners.com","url":"https://alion.io/company/vialtopartners","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":44,"ghost_share":0,"stale_share":0.886,"repost_share":0,"time_to_fill_p50_days":40,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":61000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":112},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AIOps","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Claude Code","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"GitHub","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"OCR","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"RAG","optional":true}],"status":"closed","first_seen_at":"2026-08-26T00:00:00Z","employer_posted_date":"2026-08-26","last_verified_at":"2026-10-21T17:53:49Z","board_verified":false,"closed_at":"2026-10-21T17:53:49Z","days_open":56,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":56},"description":"About Vialto Labs (VLabs)\nVialto Labs (VLabs)is responsible forredesigning how work is delivered in the tax and immigration service lines, as well as driving operational efficiency acrossVialto’sfunctional areas using AI. The team builds and deploys novel AI-enabled solutions that directly improve productivity and increase delivery quality for our clients.VLabsis accountable for rapidly turning innovative experiments into production-ready deliverables at scale and embedding them into day-to-day operations. This team focuses on the highest-impact workflows, creating standardized, repeatable capabilities that can be deployed globally. Operating with a mandate for speed and measurable outcomes,VLabsworks alongside serviceline,product, and platform leaders.\nAboutthe Role\nThe Director, Senior AIEngineer isresponsible fordesigning, building, and scaling AI-powered delivery capabilities across Vialto.This is a hands-onrole that combines deep technical execution with the responsibility tohelp a team of engineers achieve their goals.\nOperating at the intersection of AI engineering, delivery transformation, andinnovation, this role owns execution from concept through production. Therolewillwork directly with theGlobal Transformation leader and collaborate withProduct, Platform, and business leaders to embed AI into core operations, transforming how work is delivered across tax, immigration, and enterprise functions.\nThis role requires a leader who can personally engage in solution design, architecture, and hands-on engineering decisions, while also building a scalable, high-performing team of AI engineers and specialists. Success is defined by the ability to move rapidly from idea/experimentto production, standardize solutions, and deliver measurable improvements in productivityand quality across the business.\nAs a technical builderwith a strongbusiness acumen, thisrolewill drive the adoption of AI across the organization, aligning stakeholders, reshaping workflows, and ensuring accountability for outcomes. The role spans both service delivery transformation and internal enterprise functions (e.g., Finance, HR), requiring a balance of technical depth, operational rigor, and commercialawareness.\nTechnically, this role demands strong hands-on experience building production-grade GenAI and agentic AI solutions, with a focus on Python-based backend engineering, API development (e.g.,FastAPI), and cloud-native architectures on Azure. The leader will guide the design and deployment of agent-based systems,orchestration frameworks (e.g., Microsoft Agent Framework or similar),evaluation ofpipelines, and secure, scalable AI applications integrated intoreal businessworkflows.\nKey Responsibilities\nAI Engineering Leadership\nDrive theengineering strategy and execution for AI-enabled delivery solutions across the VLabsportfolio\n\nBuild and deploy production-grade AI capabilities that improve delivery efficiency, quality, speed, and scalability\n\nDefine reference patterns for AI applications, including orchestration, retrieval, workflow automation, evaluation, monitoring, and cost control\n\nMake sound decisions on architecture, tooling, build-vs-buy, and model usage in alignment with enterprise standards and business goals\n\nTechnical Delivery\nDesign, build, and maintainbackend services for GenAI and agent-based applications using Python\n\nDevelop APIs and services using FastAPI\n\nBuild and support AI solutions using the Microsoft Agent Framework (or others) and Azure cloud services\n\nDesign and integrate agent workflows, tool usage, orchestration, and workflow management patterns\n\nBuild and maintainservices using PostgreSQL, Cosmos DB, and/or SQL Server\n\nContainerize and deploy applications using Docker and Kubernetes\n\nDevelop secure, scalable, and production-ready AI systems on Azure\n\nBuild and maintainagentic harnesses, test frameworks, and evaluation pipelines\n\nImplement observability, monitoring, logging, and quality checks for AI systems\n\nUse modern engineering tools and workflows including Azure DevOps (ADO), GitHub, Claude Code, Cowork, and automation-friendly development practices\n\nEnsure adherence to Responsible AI, security, privacy, and governance requirements\n\nSupport document intelligence, OCR, and data processing workflows where needed\n\nTeam and Stakeholder Leadership\nEffectively collaborate with and support the Global Transformation leader to deliver measurable value for Vialto Partners\n\nCreate the conditions for AI engineers and technical specialists to deliver at speed, partnering closely with AI Architecture, Governance & Security, and AI Ops & Supportteammembers. Workclosely with senior leaders across Product, and Technology to align priorities and remove blockers\n\nFoster a culture of high standards, speed, accountability, and practical innovation\n\nQualifications & Experience\nThe ideal candidate is a builder, operator, and transformation catalyst. They bring deep technicalexpertisein AI engineering, Python-based backend development, and cloud-native systems, combined with a proven ability to build teams and deliver enterprise-scale impact.\nThey are equally comfortable writing or reviewing Python code, defining system architecture, and leading executive-level conversations about transformation and value creation. They have hands-on experience developing GenAI, LLM, and agent-based applications, including orchestration, evaluation frameworks, and integrating APIs, tools, and workflows into production environments.\nThis individual thrives in fast-moving environments and brings structure, discipline, and engineering rigor to GenAI initiatives. They focus on delivering production-grade solutions, not prototypes, and havea track recordof scaling AI capabilities that drive measurable business outcomes.\nThey arewell-versedininfluencingsenior stakeholders, drivingadoption across business units, and translatingAI investments into tangible productivity gainsand business outcomes. They build strong, accountable teams and create a culture of speed, ownership, and practical innovation.\nExperience & Leadership\n15+ years of software engineering experience or equivalent depthdemonstratedthrough acceleratedcareerimpact\n\nProven experience leading engineering teams in enterprise or production AI environments\n\nTrack recorddelivering large-scale transformation initiatives with quantifiable business impact\n\nExperienceoperatingin global delivery or shared services environments preferred\n\nStrong ability to connect technology investments to P&L outcomes and operational performance\n\nAI & Engineering Expertise\nHands-on experience building and deploying GenAI / LLM / agent-based applications in production\n\nStrong backend engineeringexpertise(Python, APIs, distributed systems)\n\nExperience with agent orchestration frameworks (e.g., Microsoft Agent Framework or similar)\n\nProven experience designing evaluation frameworks, monitoring systems, and AI quality controls\n\nDeep understanding of secure, scalable AI system design (data handling, access control, reliability)\n\nTechnology Stack\nCloud: Azure (preferred), cloud-native architecture\n\nBackend: Python,FastAPI(or similar)\n\nData: Postgres, Cosmos DB, SQL Server (or equivalent)\n\nInfrastructure: Docker, Kubernetes\n\nDevOps: GitHub, Azure DevOps (ADO), CI/CD pipelines\n\nAI Capabilities:\n\nAgentic systems and multi-agent workflows\n\nRAG, retrieval pipelines, and knowledge integration\n\nWorkflow orchestration and automation\n\nOCR, document intelligence, and unstructured data processing\n\nTool integration, APIs, and structured workflows\n\nMCPs, SKILLs, plugins, toolcallingor reusable agent capabilities\n\nOperating & Business Capabilities\nAbility to align executive stakeholders and translate strategy into execution\n\nFinancial and commercial acumen\n\nExperience embedding AI intoreal businessprocesses, not just prototypes\n\nEducation\nBachelor’s degreerequired\n\nAdvanced degree (MBA, MS in AI/Data/Engineering) preferred\n\nAdditional Information:\nLocation: Bangalore, India\nEmployment Type: Full Time\n Work Arrangement: Hybrid 4-5 days on site","description_format":"text","description_chars":8073,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Professional Services","Business 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