Role Proficiency:

Leverage expertise in a technology area (e.g. Infromatica Transformation Terradata data warehouse Hadoop Analytics) Responsible for Architecture for a small/mid-size projects.

Outcomes:

     Implement either data extract and transformation a data warehouse (ETL Data Extracts Data Load Logic Mapping Work Flows stored procedures data warehouse) data analysis solution data reporting solutions or cloud data tools in any one of the cloud providers(AWS/AZURE/GCP)      Understand business workflows and related data flows. Develop design for data acquisitions and data transformation or data modelling; applying business intelligence on data or design data fetching and dashboards      Design information structure work-and dataflow navigation. Define backup recovery and security specifications      Enforce and maintain naming standards and data dictionary for data models      Provide or guide team to perform estimates      Help team to develop proof of concepts (POC) and solution relevant to customer problems. Able to trouble shoot problems while developing POCs      Architect/Big Data Speciality Certification in (AWS/AZURE/GCP/General for example Coursera or similar learning platform/Any ML)

Measures of Outcomes:

     Percentage of billable time spent in a year for developing and implementing data transformation or data storage      Number of best practices documented in any new tool and technology emerging in the market      Number of associates trained on the data service practice

Outputs Expected:

Strategy & Planning:

Create or contribute short-term tactical solutions to achieve long-term objectives and an overall data management roadmap Implement methods and procedures for tracking data quality
completeness
redundancy
and improvement Ensure that data strategies and architectures meet regulatory compliance requirements Begin engaging external stakeholders including standards organizations
regulatory bodies
operators
and scientific research communities or attend conferences with respect to data in cloud

Operational Management :

Help Architects to establish governance
stewardship
and frameworks for managing data across the organization Provide support in implementing the appropriate tools
software
applications
and systems to support data technology goals Collaborate with project managers and business teams for all projects involving enterprise data Analyse data-related issues with systems integration
compatibility
and multi-platform integration

Project Control and Review :

Provide advice to teams facing complex technical issues in the course of project delivery Define and measure project and program specific architectural and technology quality metrics

Knowledge Management & Capability Development :

Publish and maintain a repository of solutions
best practices and standards and other knowledge articles for data management Conduct and facilitate knowledge sharing and learning sessions across the team Gain industry standard certifications on technology or area of expertise Support technical skill building (including hiring and training) for the team based on inputs from project manager /RTE’s Mentor new members in the team in technical areas Gain and cultivate domain expertise to provide best and optimized solution to customer (delivery)

Requirement gathering and Analysis:

Work with customer
business owners and other teams to collect
analyze and understand the requirements including NFRs/define NFRs Analyze gaps/ trade-offs based on current system context and industry practices; clarify the requirements by working with the customer Define the systems and sub-systems that define the programs

People Management:

Set goals and manage performance of team engineers Provide career guidance to technical specialists and mentor them

Alliance Management:

Identify alliance partners based on the understanding of service offerings and client requirements In collaboration with Architect create a compelling business case around the offerings Conduct beta testing of the offerings and relevance to program

Technology Consulting:

In collaboration with Architects II and III
analyze the application and technology landscapers
process and tolls to arrive at the architecture options best fit for the client program Analyze Cost Vs Benefits of solution options Support Architects II and III to create a technology/ architecture roadmap for the client Define Architecture strategy for the program

Innovation and Thought Leadership:

Participate in internal and external forums (seminars
paper presentation etc) Understand clients existing business at the program level and explore new avenues to save cost and bring process efficiency Identify business opportunities to create reusable components/accelerators and reuse existing components and best practices

Project Management Support:

Assist the PM/Scrum Master/Program Manager to identify technical risks and come-up with mitigation strategies

Stakeholder Management:

Monitor the concerns of internal stakeholders like Product Managers & RTE’s and external stakeholders like client architects
on Architecture aspects. Follow through on commitments to achieve timely resolution of issues Conduct initiatives to meet client expectations Work to expand professional network in the client organization at team and program levels

New Service Design:

Identify potential opportunities for new service offerings based on customer voice/ partner inputs Conduct beta testing / POC as applicable Develop collaterals
guides for GTM

Skill Examples:

     Use data services knowledge creating POC to meet a business requirements; contextualize the solution to the industry under guidance of Architects      Use technology knowledge to create Proof of Concept (POC) / (reusable) assets under the guidance of the specialist. Apply best practices in own area of work helping with performance troubleshooting and other complex troubleshooting. Define decide and defend the technology choices made review solution under guidance      Use knowledge of technology t rends to provide inputs on potential areas of opportunity for UST      Use independent knowledge of Design Patterns Tools and Principles to create high level design for the given requirements. Evaluate multiple design options and choose the appropriate options for best possible trade-offs. Conduct knowledge sessions to enhance team's design capabilities. Review the low and high level design created by Specialists for efficiency (consumption of hardware memory and memory leaks etc.)      Use knowledge of Software Development Process Tools & Techniques to identify and assess incremental improvements for software development process methodology and tools. Take technical responsibility for all stages in the software development process. Conduct optimal coding with clear understanding of memory leakage and related impact. Implement global standards and guidelines relevant to programming and development come up with 'points of view' and new technological ideas      Use knowledge of Project Management & Agile Tools and Techniques to support plan and manage medium size projects/programs as defined within UST; identifying risks and mitigation strategies      Use knowledge of Project Metrics to understand relevance in project. Collect and collate project metrics and share with the relevant stakeholders      Use knowledge of Estimation and Resource Planning to create estimate and plan resources for specific modules or small projects with detailed requirements or user stories in place      Strong proficiencies in understanding data workflows and dataflow   Attention to details   High analytical capabilities

Knowledge Examples:

     Data visualization      Data migration      RDMSs (relational database management systems SQL      Hadoop technologies like MapReduce Hive and Pig.      Programming languages especially Python and Java      Operating systems like UNIX and MS Windows. Backup/archival software.

Additional Comments:

AI Architect Role Summary: Hands-on AI Architect with strong expertise in Deep Learning, Generative AI, and real-world AI/ML systems. The role involves leading the architecture, development, and deployment of AI agent-based solutions, supporting initiatives such as intelligent automation, anomaly detection, and GenAI-powered assistants across enterprise operations and engineering. This is a hands-on role ideal for someone who thrives in fast-paced environments, is passionate about AI innovations, and can adapt across multiple opportunities based on business priorities. Key Responsibilities: • Design and architect AI-based solutions including multi-agent GenAI systems using LLMs and RAG pipelines. • Build POCs, prototypes, and production-grade AI components for operations, support automation, and intelligent assistants. • Lead end-to-end development of AI agents for use cases such as triage, RCA automation, and predictive analytics. • Leverage GenAI (LLMs) and Time Series models to drive intelligent observability and performance management. • Work closely with product, engineering, and operations teams to align solutions with domain and customer needs. • Own model lifecycle from experimentation to deployment using modern MLOps and LLMOps practices. • Ensure scalable, secure, and cost-efficient implementation across AWS and Azure cloud environments. • Key Skills & Technology Areas: • AI/ML Expertise: 8+ years in AI/ML, with hands-on experience in deep learning, model deployment, and GenAI. • LLMs & Frameworks: GPT-3+, Claude, LLAMA3, LangChain, LangGraph, Transformers (BERT, T5), RAG pipelines, LLMOps. • Programming: Python (advanced), Keras, PyTorch, Pandas, FastAPI, Celery (for agent orchestration), Redis. • Modeling & Analytics: Time Series Forecasting, Predictive Modeling, Synthetic Data Generation. • Data & Storage: ChromaDB, Pinecone, FAISS, DynamoDB, PostgreSQL, Azure Synapse, Azure Data Factory. • Cloud & Tools: o AWS (Bedrock, SageMaker, Lambda), o Azure (Azure ML, Azure Databricks, Synapse), o GCP (Vertex AI – optional) • Observability Integration: Splunk, ELK Stack, Prometheus. • DevOps/MLOps: Docker, GitHub Actions, Kubernetes, CI/CD pipelines, model monitoring & versioning. • Architectural Patterns: Microservices, Event-Driven Architecture, Multi-Agent Systems, API-first Design. Other Requirements: • Proven ability to work independently and collaboratively in agile, innovation-driven teams. • Strong problem-solving mindset and product-oriented thinking. • Excellent communication and technical storytelling skills. • Flexibility to work across multiple opportunities based on business priorities. • Experience in Telecom, E- Commerce, or Enterprise IT Operations is a plus. ________________________________________ ________________________________________ ________________________________________