661 jobs for "Lead Software Engineer - Data Engineer"

Sr Enterprise Solutions Applied AI Engineer

At UKG - Bangalore

Posted on Oct 15

Sr Enterprise Solutions Applied AI Engineer

Bangalore, IndiaPosted 24 days ago

Why UKG:

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That's what we do.

We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you'll get flexibility that's real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters-and so do you.

Core Mission

The Senior Enterprise Applied Agent Builder owns the end-to-end delivery of complex AI services and Generative AI features that automate or augment critical enterprise workflows. The role combines strong software engineering execution with multi-step agent design, human-centered product thinking, and production operations discipline.

This individual leads solution design from discovery to deployment, integrates AI capabilities into enterprise platforms, and establishes measurable quality and adoption outcomes. They also mentor junior engineers and contribute reusable patterns that help the organization ship agentic solutions more consistently.

Key Responsibilities

This is a hybrid role blending hands-on delivery with technical ownership, evaluation rigor, and cross-functional leadership.

1. End-to-End Ownership of Complex AI Services (55% of time)
Own the development of a complex AI service or GenAI feature, delivering from concept through production rollout and ongoing iteration.
Translate ambiguous business requirements into concrete user stories, acceptance criteria, and technical implementation plans.
Integrate agentic solutions with enterprise systems (e.g., CRMs, ERPs, HR platforms, data warehouses, internal APIs) and ensure production-grade performance through rapid iteration and troubleshooting.
Lead pilot launches and transitions, including documentation, user enablement, and stakeholder alignment.

2. Multi-Step Agent Architecture, Evaluation & Operations (30% of time)
Lead the design and implementation of multi-step agents, including tool/function calling, retrieval, state management, and human-in-the-loop oversight where required.
Develop evaluation approaches (test suites, golden datasets, regression checks) and optimize solutions for accuracy, latency, reliability, and cost.
Implement production observability (logging, tracing, monitoring) and contribute to runbooks and incident response processes for AI services.

3. Reusable Patterns, Standards & Mentorship (15% of time)
Extract successful patterns from delivery work to create reusable libraries, templates, and reference implementations for other teams.
Lead technical reviews and share best practices for secure, reliable, and user-trustworthy agentic systems.
Mentor and coach P1-P2 engineers through code reviews, design reviews, and day-to-day execution.

Required Qualifications

8+ years of experience in software engineering, including ownership of production services.
3+ years building and deploying AI/ML or Generative AI solutions that deliver measurable business results in production.
Strong proficiency with LLM application patterns: prompt engineering, Retrieval-Augmented Generation (RAG), and tool/function calling within agentic systems.
Experience with agent frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, Microsoft Agent Framework, or similar).
Hands-on experience with enterprise integrations, authentication/authorization, and secure API design.
Operational excellence: familiarity with logging, tracing, monitoring, performance tuning, and cost management for AI applications.
Strong communication skills and demonstrated ability to lead cross-functional delivery with business and technical stakeholders.
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Ideal Candidate Profile: Who Thrives in This Role

Accountable Owner: You take end-to-end ownership and ensure solutions are deliverable, operable, and adopted.

Field-Focused Problem Solver: You get energized by embedding with users, mapping real workflows, and making tangible improvements.

Pragmatic Architect: You design solutions that are robust and maintainable, and you know when to keep things simple.

Evaluation Mindset: You build measurement into the product and invest in test coverage and monitoring to keep quality stable over time.

Translator: You communicate tradeoffs clearly to both executives and engineers and bridge business needs with technical implementation.

Mentor: You raise the bar for the team through coaching, reviews, and reusable patterns.

Company Overview:

UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry - because great organizations know their workforce is their competitive edge. Learn more at ukg.com.

UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process.

Disability Accommodation in the Application and Interview Process

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com

About UKG

Size: 10,000+ employees
Industry: Technology

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