{"id":2160243,"url":"https://alion.io/job/fidelity-investments-director-aiml-engineering","title":"Director, AI/ML Engineering","company":{"id":21095,"name":"Fidelity Investments","domain":"fidelity.com","url":"https://alion.io/company/fidelity","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"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":null,"salary_estimate":{"min_usd":51000,"max_usd":135000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":37},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spring Boot","optional":false}],"status":"closed","first_seen_at":"2026-10-09T08:14:42Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-19T22:06:36Z","board_verified":false,"closed_at":"2026-10-19T22:06:36Z","days_open":10,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":10},"description":"Job Description:\nJob Title - Director, Engineering Manager - AI/ML\nThe Purpose of Your Role\nWe are seeking an Engineering Manager to lead delivery of AI/ML-driven applications and platforms, including Java/Python-based systems with user interfaces and cloud-native deployments. This role is accountable for end-to-end delivery, spanning application development, machine learning platforms, and Generative AI solutions, with a strong emphasis on execution discipline, scalability, and reliability.\nThe Expertise We’re Looking For\nBachelor’s degree in computer science or related field\n15+ years of engineering experience including people management\nStrong Experience delivering AI/ML and Generative AI solutions is aMUST requirement.\nDriving AI/ML initiatives by aligning with engineering goals\nWorking with Data Scientists and AI/ML Architects in driving solutions\nStrong hands-on experience with Java, Python, and Spring Boot-based application development\nExperience building and deploying applications on AWS, including EKS/Kubernetes\nExperience with AWS SageMaker and managing ML platforms and model lifecycle\nStrong understanding of modern architecture patterns, APIs, and UI-driven applications\nExperience leading teams in structured or hybrid delivery models is a MUST requirement.\nStrong stakeholder management and ability to operate in a matrixed organization\nThe Skills that are Key to this role\nManage and mentor resources to meet the chapter KPIs and upskilling of the associates\nMentor software engineers on the team and ensure high stability and avoid SME gaps.\nHelp and drive discussion to build technology roadmap for chapter.\nWork with product management on refining and implementation of the roadmap.\nExperience leading teams in structured or hybrid delivery models\nStrong stakeholder management and ability to operate in a matrixed organization\nThe Value You Deliver\nLead teams delivering AI/ML and Generative AI solutions integrated with enterprise applications\nDrive end-to-end ownership of design, build, deployment, and production support\nEnsure high-quality, scalable, and secure solutions aligned to business goals\nPartner with cross-functional teams to define roadmaps and execute effectively\nEstablish and enforce strong engineering and operational standards\nOwn technology lifecycle management, including remediation and ensuring ongoing platform stability\nHow Your Work Impacts the Organization\nWS (Workplace Solutions) helps our customers save and invest through workplace retirement savings plans, build lifetime relationships with customers, and provide employers with cost-effective, integrated employee benefit solutions. WS serves customers online, over the phone, and through a nationwide network of investor centers. WS is also committed to helping drive employee retirement readiness by delivering leading-edge financial solutions to employers, including recordkeeping, cash management products and services and personal advisory services (PAS).\nThe Team\nFidelity's Workplace Investing (WI) Technology team designs, develops, implements, and supports WI’s suite of technology products on behalf of our customers. We are passionate about delivering innovative solutions that exceed our customer’s needs. We embrace diversity of thought and experience. Our team thrives with an unyielding dedication to innovation which promotes a culture of continuous improvement and significant product advancement. 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