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U

Lead II - Software Engineering - Gen AI Lead

UST
Location not stated
Staff / Principal
3 months ago
  • Machine Learning
  • AI
  • Large Language Models
  • RAG
  • MLOps
  • AI/ML
  • OpenAI
  • AWS
  • Azure
  • GCP
  • REST API
  • Microservices
  • Python
  • Snowflake
  • Databricks
  • ServiceNow
  • Jira
  • Tableau
  • RPA
  • Test Automation
  • Playwright
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Who we are:

At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at.

Job Description – Generative AI Solution Architect

Experience: 10+ Years
Location: Any UST Location
Employment Type: Full-Time

Role Overview

We are looking for an experiencedGenerative AI Solution Architect to lead the design and implementation of enterprise-scale AI and GenAI solutions. The ideal candidate will have strong expertise inLarge Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, MLOps, and Cloud Platforms, with the ability to translate business challenges into scalable AI solutions.

Key Responsibilities

  • Define and drive the GenAI strategy and architecture aligned with business objectives.
  • Identify and implement high-impact AI use cases across business functions such as workflow automation, analytics, sustainability, and enterprise operations.
  • Design end-to-end AI/ML and Generative AI solutions using enterprise architecture best practices.
  • Develop AI applications usingOpenAI APIs, LLMs, RAG, Agentic AI frameworks, and vector databases.
  • Design scalable AI architectures on cloud platforms such asAWS, Azure, or GCP.
  • Build AI-powered automation solutions, enterprise knowledge assistants, and intelligent workflows.
  • Integrate AI solutions with enterprise applications using REST APIs and microservices.
  • Collaborate with business stakeholders, architects, data engineers, and development teams to define and deliver AI solutions.
  • Lead technical design reviews, proof of concepts (PoCs), MVP development, and production deployments.
  • Implement MLOps best practices for model deployment, monitoring, governance, and lifecycle management.
  • Mentor engineering teams on Generative AI technologies, architecture, and development best practices.
  • Drive innovation by developing reusable AI frameworks, accelerators, and automation solutions.

Required Skills

  • 10+ years of experience in Solution Architecture or Technical Architecture.
  • Strong expertise inGenerative AI,Large Language Models (LLMs), and AI solution design.
  • Hands-on experience withOpenAI APIs,Prompt Engineering,Function Calling,Agents, andRetrieval-Augmented Generation (RAG).
  • Experience withModel Evaluation, vector databases, embeddings, and semantic search.
  • Strong programming skills inPython.
  • Experience building REST APIs and microservices.
  • Experience withMLOps and AI model deployment.
  • Hands-on experience with cloud platforms such asAWS,Azure, orGoogle Cloud Platform (GCP).
  • Experience with data platforms such asSnowflake,Databricks, or similar.
  • Strong analytical, communication, stakeholder management, and problem-solving skills.

Good to Have

  • Experience withDataiku or similar machine learning platforms.
  • Knowledge of Agentic AI frameworks and AI automation platforms.
  • Experience integrating with enterprise applications such as ServiceNow, Jira, Tableau, or Sigma.
  • Familiarity with workflow automation and RPA tools.
  • Knowledge of ESG, sustainability reporting, or enterprise analytics.
  • Experience with test automation tools such as Playwright or Tosca.

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
  • Cloud or AI certifications are an added advantage.

Primary Skills: Generative AI, Large Language Models (LLMs), Prompt Engineering, Python, Retrieval-Augmented Generation (RAG), Vector Databases, Model Evaluation, MLOps, OpenAI, AI Solution Architecture.

What we believe:

We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the centre of everything we do.

Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honour our commitments and act with responsibility in all our relationships.

Equal Employment Opportunity Statement

UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.


UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

• To support and promote the values of UST.

• Comply with all Company policies and procedures

Lead II - Software Engineering - Gen AI Lead · UST

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