Job Description

5 - 7 Years
1 Opening
Bangalore

Role description

Role Proficiency:



Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities



Outcomes:



Interpret the application/feature/component design to develop the same in accordance with specifications.

Code debug test document and communicate product/component/feature development stages.

Validate results with user representatives; integrates and commissions the overall solution

Select appropriate technical options for development such as reusing improving or reconfiguration of existing components or creating own solutions

Optimises efficiency cost and quality.

Influence and improve customer satisfaction

Set FAST goals for self/team; provide feedback to FAST goals of team members


Measures of Outcomes:



Adherence to engineering process and standards (coding standards)

Adherence to project schedule / timelines

Number of technical issues uncovered during the execution of the project

Number of defects in the code

Number of defects post delivery

Number of non compliance issues

On time completion of mandatory compliance trainings


Outputs Expected:



Code:



Code as per design

Follow coding standards
templates and checklists


Review code - for team and peers



Documentation:



Create/review templates
checklists

guidelines

standards for design/process/development


Create/review deliverable documents. Design documentation
r and requirements

test cases/results




Configure:



Define and govern configuration management plan

Ensure compliance from the team



Test:



Review and create unit test cases
scenarios and execution


Review test plan created by testing team

Provide clarifications to the testing team



Domain relevance:



Advise Software Developers on design and development of features and components with a deep understanding of the business problem being addressed for the client.

Learn more about the customer domain identifying opportunities to provide valuable addition to customers

Complete relevant domain certifications



Manage Project:



Manage delivery of modules and/or manage user stories



Manage Defects:



Perform defect RCA and mitigation

Identify defect trends and take proactive measures to improve quality



Estimate:



Create and provide input for effort estimation for projects



Manage knowledge:



Consume and contribute to project related documents
share point

libraries and client universities


Review the reusable documents created by the team



Release:



Execute and monitor release process



Design:



Contribute to creation of design (HLD
LLD

SAD)/architecture for Applications/Features/Business Components/Data Models




Interface with Customer:



Clarify requirements and provide guidance to development team

Present design options to customers

Conduct product demos



Manage Team:



Set FAST goals and provide feedback

Understand aspirations of team members and provide guidance
opportunities

etc


Ensure team is engaged in project



Certifications:



Take relevant domain/technology certification


Skill Examples:



Explain and communicate the design / development to the customer

Perform and evaluate test results against product specifications

Break down complex problems into logical components

Develop user interfaces business software components

Use data models

Estimate time and effort required for developing / debugging features / components

Perform and evaluate test in the customer or target environment

Make quick decisions on technical/project related challenges

Manage a Team mentor and handle people related issues in team

Maintain high motivation levels and positive dynamics in the team.

Interface with other teams designers and other parallel practices

Set goals for self and team. Provide feedback to team members

Create and articulate impactful technical presentations

Follow high level of business etiquette in emails and other business communication

Drive conference calls with customers addressing customer questions

Proactively ask for and offer help

Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks.

Build confidence with customers by meeting the deliverables on time with quality.

Estimate time and effort resources required for developing / debugging features / components

Make on appropriate utilization of Software / Hardware's.

Strong analytical and problem-solving abilities


Knowledge Examples:


Appropriate software programs / modules
+ Functional and technical designing

+ Programming languages - proficient in multiple skill clusters

+ DBMS

+ Operating Systems and software platforms

+ Software Development Life Cycle

+ Agile - Scrum or Kanban Methods

+ Integrated development environment (IDE)

+ Rapid application development (RAD)

+ Modelling technology and languages

+ Interface definition languages (IDL)

+ Knowledge of customer domain and deep understanding of sub domain where problem is solved

Additional Comments:

Role(s): AI Solutions Analyst Planned Start Date: 10/27/2025 Role Scope / Deliverables: Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset. Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights. Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment. Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives. Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance. Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries. Key Deliverables ? LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic. ? Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules). ? Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time. ? Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes. ? AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics. ? Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams. Key Skills: Technical & Analytical Skills LLM Integration & Prompt Engineering - Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights. Context & Knowledge Base Design - Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability. Evaluation & Testing Methods - Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases. Data Literacy & Modeling Awareness - Familiar with relational and analytical data models to ensure alignment between data structures and AI responses. Familiarity with Databricks, AWS, and ChatGPT Environments - Capable of working in cloud-based analytics and AI environments for development, testing, and deployment. Scripting & Query Skills (e.g., SQL, Python) - Ability to extract, transform, and validate data for model training and evaluation workflows. Business & Collaboration Skills Cross-Functional Collaboration - Works effectively with business, data, and IT teams to align GPT capabilities with business objectives. Analytical Thinking & Problem Solving - Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements. Commercial Context Awareness - Understands how sales and marketing intelligence data should be represented and leveraged by GPT. Governance & Responsible AI Mindset - Applies enterprise AI standards for data security, privacy, and ethical use. Communication & Documentation - Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

Skills

LLM,AI,Prompt Engineering

About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact--touching billions of lives in the process.