• Manage a team of architects and scrum teams comprising architects, software engineering, and quality engineering based in the US and India. Also managing one-time investment projects with offshore scrum teams. • Operate an R&D organization with modern Event-based architectures running in Azure based on C#, SQL, COSMOS, and other Azure PaaS offerings. • Maintain and evolve the organization’s architecture strategy, principles, standards, and reference patterns across product and platform teams. • Ensure architectural oversight of modernization, Azure adoption, datacenter technologies, integration, data, security, scalability, and resiliency decisions. • Maximize teams use of AI tools to accelerate delivery. Measure productivity increase and how it ties to accelerated business objectives. • Work within a very large technology organization of 600+ running SAFe. • Serve as an engaged executive technology leader who develops engineering and architecture leaders, guides critical technical decisions, and ensures architectural direction supports product, platform, security, and operational objectives. • Set direction and maintain executive accountability for core platform capabilities—including CIAM, the enterprise data lakehouse, and shared data services—ensuring their roadmaps, adoption, reliability, security, and investment align with product and business priorities. • HR management of development team members, including hiring, performance reviews, coaching, improvement plans, and overall growth of team skills • Lead and collaborate with architects, product managers, software development managers, and developers to architect and develop the best technical design and approach, delivering value quickly to customers without sacrificing software quality • Work closely with product management, customers, other support organizations, vendors and other team members to understand the team and product needs • Have responsibility for identifying and measuring key objectives for the team, including DORA, annual goals and targets based on overall business needs of the organization • Identify and champion cross organization continuous improvement efforts starting from business value through to final implementation • Inspire and sustain team unity and engagement by developing, mentoring, motivating, and guiding the team to achieve results together through productive relationships and work • Ensure that procedures and processes are well documented, trained and adhered to by the development team members • Upscale, upskill and modernize the development teams for rapid and high quality delivery of our solutions

• Design and implement AI solutions using Azure AI Foundry, Azure OpenAI, Copilot Studio, and Microsoft Fabric • Build reusable AI services, agent frameworks, prompt registries, evaluation pipelines, MCP integrations, and tool catalogs • Establish engineering standards for enterprise AI development • Create reference architectures for agents, RAG (if required), tool calling, multi-agent workflows, and Human-In-The-Loop (HITL) workflows • Provide technical guidance on when to use Copilot, Foundry, Agentforce, ChatGPT Enterprise, Claude Enterprise, and private models • Design AI-enabled solutions leveraging OneLake, Lakehouse, Data Warehouse, Data Factory, and Power BI • Establish reusable AI-ready data patterns and provide guidance to data engineering as required • Provide guidance on monitoring, telemetry, evaluation frameworks, token tracking, cost allocation, prompt performance, and agent reliability metrics • Support deployment, rollback, versioning, and incident response • Implement prompt versioning using GitHub, agent approval workflows, model routing controls, tool access controls, and usage monitoring. Automate quality control using agents in collaboration with innovation architect • Being part of the Emerging Technology team, collaborate with other team members as well as IT and business functions • Translate business use cases into reusable technical solutions

• Design and own the data foundation behind Phoenix’s agentic commerce platform. • Turn raw commerce events into structured, decision-grade intelligence that powers autonomous payment routing, approval probability scoring, checkout optimization agents, and merchant copilots. • Architect the event models, pipelines, and data contracts that allow AI agents to observe, reason, act, and improve in real time. • Design for low latency, high correctness, replayability, and observability. • Define how intelligence is embedded into core commerce behavior and how Phoenix’s systems learn from every transaction to continuously improve merchant performance.

• Configure and maintain platform environments across TMS platforms (e.g., XTM, Phrase, memoQ, Trados), including MT engine connections, workflows, AIPE/AIQE parameters, and provider-level settings (glossaries, dictionaries, model selection). • Act as the primary diagnostics layer between production teams and AI/ML Engineering. Investigate MT quality issues, identify root causes (data, engine, pipeline, or TMS), and escalate with clear reproduction steps and context. • Manage end-to-end MT operations: data preparation, TM analysis, engine training, evaluation, deployment, and monitoring. Maintain relationships with MT providers and identify opportunities to optimise performance. • Support pre-sales as an MT/AI subject matter expert. Build ROI models, prepare QBR insights (e.g., edit distance trends, MT savings, cost usage), and advise clients on MT strategy, including engine selection and content suitability. • Identify and eliminate manual processes through automation. Design or build tools, scripts, and workflows that reduce human intervention and improve scalability. This is a core expectation of the role.