{"id":3308865,"url":"https://alion.io/job/bayone-aiml-architect","title":"AI/ML Architect","company":{"id":669393,"name":"BayOne","domain":"bayone.com","url":"https://alion.io/company/bayone","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":77000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Copilot","optional":false},{"name":"GDPR","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Machine Learning","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-10-27T00:00:40Z","employer_posted_date":null,"last_verified_at":"2026-10-27T00:00:40Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Qualifications:\nSoftware Engineering Architect / Lead with 10+ years of experience in designing and leading AI/ML and RPA solutions.\nExperienced in driving technical architecture, solution design, automation, and end-to-end software engineering initiatives.\nStrong leadership in guiding teams, defining scalable solutions, and collaborating with stakeholders to deliver business-focused technology solutions.\n\nStrategy and use-case portfolio\nBuild and own the AI, machine learning and RPA use-case pipeline: source candidate use cases from the business, size value and feasibility, and sequence them honestly.\nMake and defend build-versus-buy decisions, including where embedded vendor AI — SAP Joule, Manhattan's agentic capabilities, Microsoft Copilot, Shopify's native tooling — is the better answer than a custom build.\nSay no to use cases that do not survive scrutiny, and document why.\n\nArchitecture and delivery\nOwn the reference architecture for machine learning and generative AI at Organization: data access patterns against Snowflake, model hosting, retrieval-augmented generation, evaluation, monitoring and MLOps.\nOwn the RPA architecture and platform selection for finance and supply chain back-office automation, with a clear position on where process redesign beats automation of an existing bad process.\nDeliver the first production use cases personally alongside a small team — this is a hands-on role, not a strategy function.\n\nGovernance, risk and data protection\nEstablish Organization's AI governance framework: use-case approval, model risk assessment, human-in-the-loop requirements, bias and fairness testing, and model lifecycle management.\nDefine what corporate, customer and employee data may and may not be used in AI systems, working with Information Security and Legal, under GDPR and CCPA obligations.\nEnsure no personally identifiable or payment data enters model training, prompting or third-party AI services without explicit approved control.\nOwn the position on third-party AI vendor assessment and data residency.\n\nLeadership and enablement\nHire and lead a small team of AI, machine learning and RPA engineers.\nAct as Organization's internal translator on AI — set realistic expectations with business stakeholders, and counter both overclaiming and reflexive scepticism with evidence.\nPartner with the Snowflake Lead to ensure the data platform is fit for purpose for AI workloads.\n\nPreferred:\nRetail, consumer goods or apparel use cases: demand forecasting, assortment planning, inventory optimisation, pricing or customer service automation.\nExperience with AI capabilities embedded in SAP, Microsoft, Shopify or Manhattan platforms.\nExperience building an AI function from a standing start.\nSnowflake or comparable cloud data platform experience as the foundation for ML workloads.\n\nNote: Shortlisted candidates must be available to attend a face-to-face interview in Hyderabad.","description_format":"text","description_chars":2920,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Staffing & Staff 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