Associate Director - Digital Fabric

Job Description

Responsible for designing software architecture and (or) delivery & deployment of the solution, driving automation, and improving operational efficiencies. This is a tactical role which defines the direction of new solutions, processes, standards based upon business strategy or customer need, with a significant mid-term impact on business unit overall results.

Responsibilities

Understanding new requirements/charters and analysis
Leads discussions with cross functional teams and stake holders to evaluate feasibility, technical specifications, cost-benefit analysis, etc.
Define the software roadmap to meet business needs and operational aspects, secure and scalable.
Creating & delivering high quality features, preparing end to end high level and low-Level designs, developing individual sub systems.
Drives deployment of software architecture. Analyses test results post testing. Oversees go-live and guides troubleshooting.
Review and finalize implementation of design and architecture including infrastructure and deployment requirements.
Create internal user stories for development, testing and deployment across multiple sub-systems like OSS-BSS, IT Applications
Establish technology standards, cloud native architecture, SaaS based model for applications development, lead software quality assurance by reviewing process compliances, identifying pain points, and driving improvement initiatives.
Facilitating creation and prioritization of program-level feature and architectural backlogs
The role may be leading a team of software developers.

Desired Skill sets

Demonstrated experience and understanding in software solutions requirement analysis, creating roadmap, design, and software & platform architecture, cloud environment, business concepts and processes.
Hands on experience in debugging complex issues.
Extensive experience in software and application lifecycle Management
Industry domain knowledge of key technology and industry trends
Experience in working with Agile methodology.

Hands-on
experience in developing and deploying Generative AI applications (e.g., LLMs,
RAG, GraphRags, code generation), including Agentic AI and Model Context
Protocol (MCP).

Proficiency with Agentic AI orchestration
frameworks such as LangChain, LlamaIndex, and/or similar tools.

Experience with leading LLM providers and
models including OpenAI, Llama, Anthropic, and others.

Familiarity with AI-powered tools and
platforms such as Microsoft Copilot, GitHub Copilot etc.

Lead
research, evaluation, and adoption of new AI models, algorithms, and
frameworks.