Apps AI Solution Architect AMS

The Apps AI Architect will play a pivotal role in transforming how we design, build, and manage enterprise applications in the GenAI era. This role blends deep application architecture expertise - spanning UI/UX, front-end, back-end, integration, data, and cloud - with hands-on AI engineering skills to infuse Artificial Intelligence (including Generative and Agentic AI) across the full application lifecycle - from design and development to modernization and ongoing operations.

The Architect will drive innovation, develop reusable AI patterns, and deliver proof-of-value (PoV) initiatives that convert emerging technology possibilities into tangible business impact.

• Architect AI-Native Applications:
  Design and implement architectures that integrate AI models (LLMs, predictive, and agentic systems) into application workflows to enable reasoning, automation, and contextual decision-making.
• End-to-End Application Design:
  Lead the design of UI/UX flows, user-facing AI interactions, conversational interfaces, and AI-augmented user journeys across web and mobile applications.
• Drive Modernization Through AI:
  Reimagine legacy and digital applications by embedding AI capabilities that enable modernization, optimization, and transformation across app portfolios. Design modernization frameworks leveraging AI for architecture discovery, business-rules extraction, and application rationalization. Embed intelligence in re-platformed or refactored applications to create truly AI-native modernization.
• Legacy-to-Modern Mapping:
  Architect solutions that transform legacy applications into modern Java, .NET, microservices, or cloud-native platforms while preserving core business rules and logic.
• Infuse AI Across Dev & Ops:
  Partner with delivery and support teams to embed AI in software engineering, testing, incident management, and observability - driving efficiency, resilience, and proactive operations.
• Tooling & Frameworks:
  Evaluate, integrate, and optimize AI-assisted tools (e.g., code translators, test generators, documentation bots) within modernization pipelines to accelerate delivery.
• Integration & Ecosystem:
  Define strategies to integrate modernized applications into enterprise ecosystems, including APIs, event-driven architectures, and cloud environments.
• Lead Proofs of Value (PoVs):
  Design and execute AI-centric PoVs to validate new technologies, tools, and architectures for clients.
• Collaborate & Evangelize:
  Partner with pre-sales, delivery, and client stakeholders to identify AI opportunities, shape proposals, and articulate the business value of AI-native transformation.
• Develop Reusable Assets:
  Create frameworks, accelerators, and reference architectures to scale adoption of GenAI and LLM-enabled solutions across multiple accounts.

• 10-15 years of experience in Application Architecture, Engineering, or Digital Transformation, with at least 2-3 years in AI/ML or GenAI implementation.
• Strong experience with Azure OpenAI, OpenAI APIs, Vertex AI, AWS Bedrock, Lang Chain, Llama Index, or similar LLM platforms.
• Deep understanding of modern UI/UX architecture, responsive front-end design, and frameworks such as React, Angular, Vue, or equivalent.
• Proficiency in Python, Node.js, or Java, with exposure to LLM integration, prompt engineering, and API orchestration.
• Experience with leading AI-assisted productivity tools such as Claude, Gemini Code Assist, and Git Hub Copilot.
• Familiarity with observability and AIOps platforms including Data Dog, Dynatrace, Moogsoft, Splunk AIOps, and Service Now AIOps.
• Hands‑on exposure to LLM-based ITSM agents and RAG (Retrieval‑Augmented Generation) frameworks.
• Experience with MLOps/GenAIOps for continuous model improvement within modernization initiatives.
• Strong background in application modernization (re‑platforming, containerization, microservices, and cloud‑native design).
• Solid understanding of legacy technologies such as Mainframe, Java, and .NET.
• Knowledge of Prompt Ops, model observability, AI lifecycle management, and related operational frameworks.
• Excellent communication, stakeholder management, and customer‑facing engagement skills.