{"id":3521879,"url":"https://alion.io/job/weekday-director-ai","title":"Director AI","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":92,"ghost_share":0,"stale_share":0.978,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":6800000,"max":10000000,"currency":"INR","period":"year","gross":null,"usd_annual":105910},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"LLMOps","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-30T12:28:52Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-02T15:53:35Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"This role is for one of Weekday’s clients\nSalary range: Rs 6800000 - Rs 10000000 (ie INR 68 - 100 LPA)\nMin Experience: 12+ years\nLocation: Bangalore\nJobType: full-time\nWe are seeking a strategic and hands-on Director - AI to lead the development and execution of the organisation's AI product strategy. The ideal candidate will be responsible for transforming high-value business challenges into secure, scalable, and commercially impactful AI products, taking them from initial discovery and prioritisation through development, launch, adoption, and continuous improvement.\nThis is a high-impact leadership role at the intersection of AI, Product Management, Technology, and Business. You will define the organisation-wide AI vision and build a focused product portfolio that moves AI beyond isolated experiments into repeatable, reliable, and measurable business outcomes.\nThe portfolio may span Generative AI, Predictive Machine Learning, Intelligent Automation, and AI-powered customer experiences across areas such as fraud detection, risk management, customer support, personalised payment experiences, and operational efficiency.\nRequirements\nKey Responsibilities\nDefine the AI product vision, strategy, and roadmap in collaboration with business and technology leadership.\nBuild and prioritise an AI product portfolio based on customer needs, business value, technical feasibility, risk, and speed of execution.\nOwn the complete product lifecycle, including problem discovery, use-case definition, experimentation, prioritisation, development, launch, adoption, and optimisation.\nPartner with AI/ML engineers, data scientists, designers, platform teams, and business stakeholders to deliver reliable AI products at scale.\nEvaluate and integrate external AI platforms and LLM solutions where they offer strategic and business advantages, ensuring security, privacy, cost, and performance considerations.\nEstablish modern AI product practices covering model evaluation, human-in-the-loop workflows, feedback mechanisms, observability, and continuous improvement.\nTranslate AI capabilities into measurable business outcomes, including revenue growth, monetisation, cost optimisation, productivity, risk reduction, and improved customer experience.\nEstablish governance frameworks for Responsible AI, regulatory compliance, data privacy, security, explainability, risk management, and auditability.\nBuild and strengthen AI Product Management capabilities through talent development, operating frameworks, decision-making processes, documentation, and best practices.\nLead, mentor, and develop high-performing teams while influencing senior stakeholders across the organisation.\nKey Success Metrics\nEstablish a focused AI roadmap aligned with strategic business priorities and customer outcomes.\nSuccessfully launch and scale AI products with measurable improvements in value, quality, safety, reliability, and user experience.\nDrive tangible business impact through improved productivity, operational efficiency, customer engagement, revenue, cost optimisation, and risk management.\nImplement robust AI evaluation and governance frameworks that enable responsible experimentation and deployment.\nDevelop a repeatable AI product operating model and build a capable team that can take AI initiatives from discovery to measurable impact.\nMust-Have Skills and Qualifications\n12-18 years of overall experience, with 12-14 years specifically in Product Management.\nAt least 3 years of experience building or scaling AI-driven products.\nProven track record of launching B2C or B2B AI/ML-powered products at scale and driving sustained adoption beyond pilot stages.\nStrong understanding of Generative AI and its product applications, including LLMs, transformers, embeddings, and modern AI application architectures.\nAbility to translate technical AI capabilities into customer-focused solutions, commercial value, and actionable product strategies.\nExperience leading high-performing product teams and collaborating across Engineering, Data Science, Design, Risk, Compliance, and Business functions.\nStrong strategic thinking, analytical judgement, communication, and stakeholder management skills.\nAbility to operate effectively in fast-paced, ambiguous, and highly regulated business environments.\nGood-to-Have Skills\nExperience in Payments, FinTech, Financial Services, or other regulated technology environments.\nExposure to AI platforms, LLM providers, model evaluation, LLMOps, MLOps, Retrieval-Augmented Generation (RAG), and AI-agent applications.\nExperience with Machine Learning, Intelligent Automation, and predictive analytics.\nDomain knowledge in fraud detection, risk management, and personalised customer experiences.\nDemonstrated ability to balance innovation with data privacy, information security, Responsible AI, and regulatory requirements.\nWhat the Role Offers\nOpportunity to shape and lead an organisation-wide AI strategy with direct visibility into business and customer impact.\nWork on high-value AI use cases that improve customer trust, operational speed, experience, and efficiency.\nBuild the team, operating model, and product management practices for the next phase of AI-led growth.\nAccess to continuous learning opportunities, including 5,000+ courses from learning partners.\nWork in a fast-paced, innovation-driven, and inclusive environment that encourages diverse perspectives and ownership.\nKey Skills\nMust-Have: Product Management, Artificial Intelligence (AI), Generative AI\nGood-to-Have: Machine Learning, Intelligent Automation, Fraud 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