3 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Define enterprise AI architecture vision, principles, standards, reference patterns, capability roadmaps, and technology strategy.
- Provide architectural direction for generative AI, RAG, agentic AI, model integration, orchestration, prompt and context engineering, and AI evaluation.
- Lead strategic AI research, technology evaluations, and proofs of concept and convert validated results into reusable production capabilities.
- Establish guardrails for responsible AI, security, privacy, model risk, data governance, observability, auditability, and human oversight.
- Shape cloud-native and SaaS architecture for multi-tenancy, tenant isolation, scalability, resilience, availability, metering, subscriptions, and cost management.
- Drive adoption of reference architectures, implementations, patterns, libraries, accelerators, and engineering guidance across product and platform teams.
- Govern strategic architecture and design proposals for alignment with enterprise AI, cloud, SaaS, security, regulatory, and sustainability standards.
- Influence executive and senior technical decisions across architecture, engineering, product, data, security, cloud platforms, governance, and business leadership.
- Develop senior architects and principal engineers and lead architecture forums, technical councils, workshops, demonstrations, hackathons, and knowledge-sharing communities.
Requirements
- At least 12 years of progressive experience in a corporate IT environment or IT consulting company, including at least 3 years in a senior role.
- At least 10 years of experience building, integrating, and delivering large enterprise-scale solutions using web-based technologies.
- At least 10 years of experience designing applications.
- At least 10 years of experience delivering solutions in an agile environment.
- Expertise in enterprise AI architecture and strategy, generative AI and LLM systems, RAG, agentic AI, AI platforms, model integration, evaluation, observability, responsible AI, and governance.
- Cloud and SaaS architecture experience, including Microsoft Azure or comparable hyperscale platforms, containers, Kubernetes, serverless, managed services, infrastructure automation, platform engineering, distributed systems, APIs, data platforms, reliability, disaster recovery, and security architecture.
Benefits
- Unlimited vacation subject to local regulations and business priorities, hybrid working arrangements, and paid time off for voting, bereavement, and sick leave.
- Employee Assistance Program, Wellbeing Champions, Gather Groups, and monthly well-being events and initiatives.
- Medical, life, and disability insurance, retirement plans, lifestyle benefits, and other location-dependent benefits.
- Paid volunteering time and donation-matching opportunities.
- Inclusion communities including Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, and Women@Finastra.
- Online learning and accredited courses through the Skills & Career Navigator tool.
- Participation in the global Finastra Celebrates recognition program and regular employee surveys.
- Benefits and policies may vary by location; the role offers hybrid working arrangements.
Tech Stack
Categories
About Finastra
Finastra builds banking software for financial institutions, spanning core banking, lending, payments, and treasury, delivered on-premises and via cloud APIs. It sells licensed and SaaS products and an open platform (FusionFabric.cloud) used by over 7,000 customers, including 80% of the world’s top 50 banks, in more than 110 countries. Founded in 2017 and headquartered in Paddington, London, it is privately held.