Job Description

Roles & Responsibilities

• Future‑State Architecture & Platform Strategy

  ·        Define and evolve the future‑state architecture for the assigned domain, including architecture principles, standards, patterns, and reference architectures.

  ·        Establish clear architectural mechanisms and positions that guide how technologies are selected, used, and evolved within the domain.

  ·        Define strategic technology and platform direction, including modernization, consolidation, and managed exit of legacy technologies.

  ·        Develop architecture position papers, option analyses, and target‑state roadmaps to support executive and governance decision‑making.

  ·        Ensure architectural direction consistently addresses scalability, resilience, security, data protection, regulatory compliance, and operational sustainability.

  ·        Contribute to enterprise‑level architecture initiatives and overall EA practice maturity uplift.

  AI Domain Architecture

  • Define and evolve the enterprise AI architecture foundations, including platforms, and reference architectures

  • Own standards and patterns for AI/ML, GenAI, MLOps, LLMOps, Agentic …

  • Maintain the AI technology catalog, including lifecycle positioning of AI capabilities

  • Define long‑term AI evolution roadmaps, balancing innovation with governance, trust, and operational sustainability

  ·        Drive adoption of approved AI architectures across application and platform teams

   

  Software/Technology Catalog & Lifecycle Management

  ·        Own the domain software and technology catalog, in collaboration with Technology Owners.

  ·        Define Invest / Hold / Disinvest lifecycle positioning with clear architectural rationale.

  ·        Ensure lifecycle intent is reflected in:

  o   Architecture standards and patterns

  o   Architecture governance decisions

  o   Long‑term modernization and rationalization roadmaps

  ·        Prevent uncontrolled technology sprawl and duplication.

  Architecture Strategy, Adoption & Governance

  ·        Define and enforce architecture guardrails to drive standardization, reuse, resilience, and security‑by‑design.

  ·        Govern solution and platform designs through EA governance forums (e.g. EADA), focusing on alignment to standards, patterns, and approved catalog technologies.

  ·        Drive early and consistent adoption of architecture guidance across Technology Owners and Application Teams.

  ·        Manage non‑standard designs through alignment or formally governed exceptions.

  ·        Continuously improve architecture standards and governance mechanisms based on business evolution, delivery feedback, and operational insights.

   

  EA Capability Modernization & Thought Leadership

  ·        Act as a trusted domain authority and source of architectural thought leadership.

  ·        Monitor industry trends and emerging technologies to inform pragmatic architectural evolution.

  ·        Guide appropriate architectural style shifts while balancing innovation with regulatory and operational readiness.

  ·        Identify and promote the use of automation and AI‑enabled approaches to simplify, scale, and industrialize EA mechanisms (standards management, governance, reviews, insights).

  Collaboration & Stakeholder Engagement

  ·        Work closely with Technology owners to align architecture direction, lifecycle intent and platform roadmaps.

  ·        Engage with Application Team and Solution Architects to provide early guidance

  ·        Collaborate with internal governance bodies (e.g., Cloud, Data, Security) to ensure coherence across domains.

  ·        Engage with vendors and strategic partners to assess solutions and ensure alignment with enterprise and domain architecture direction

Desired Candidate Profile

• · Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience). · 15+ years of experience in Enterprise Architecture, Domain Architecture, or Solution Architecture roles within complex, large‑scale environments. · Strong and proven technical foundation built through hands‑on engineering experience, typically progressing from roles such as system administration, software engineering, platform engineering, or DevOps into architecture roles. · Proven experience defining future‑state architectures and driving strategic platform decisions, including technology evaluation and target‑state · Proven hands-on expertise in AI/ML engineering and GenAI, MLOps, AIOps, AI Model life cycle management, Agentic System Design · Proven experience in Data architecture, · Proven experience in Public Cloud platform with Hybrid integration (AWS, Azure), across the AI, GenAI services · Familiarity with security protocols and data protection standards in banking environments (e.g., OAuth2, TLS, PKI, DLP). · Demonstrated ability to design architectures grounded in real‑world delivery, operational, and production experience — not purely theoretical models. · Demonstrated experience operating within regulated, banking‑grade environments. · Proven ability to influence architectural outcomes across multiple delivery teams without direct delivery ownership. · Strong working knowledge of relevant domain platforms and technologies (e.g., cloud platforms, containers, databases, middleware, security tooling, platform services). · Solid understanding of security‑by‑design, regulatory compliance, and risk considerations. · Certification from Cloud provider is a plus (AWS, Azure) · Familiarity with Enterprise Architecture frameworks (e.g., TOGAF) is a plus. · Experience working within Agile / DevOps delivery models. · Excellent analytical, communication, and stakeholder‑management skills. · Ability to operate effectively in complex, fast‑paced, cross‑functional environments. · Relevant architecture or domain certifications are an advantage.