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Senior AI/ML Engineer

Unisys CORP - Bangalore, KA, India

Posted Jun 10, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
Not verified checked Jun 13, 2026
Salary
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401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior AI/ML Engineer Bangalore, KA, India Bangalore, KA, India What success looks like in this role: Rapidly converting ideas, business problems, and hypotheses into working demonstrations & PoCs Designing, building, and orchestrating Agentic AI systems, including autonomous and semi-autonomous agents capable of reasoning, planning, tool usage, and goal execution. Leading the design and development of Generative AI applications leveraging LLMs, embeddings, vector databases, RAG, and multi-agent frameworks. Working with Scrum/Agile teams to develop rapid prototypes and work toward scalable enterprise solutions. Evaluating, selecting, and integrating AI frameworks, agent orchestration tools, and model providers relevant to agentic and generative AI development. Staying current on LLMs, agent architectures, reasoning, memory, and AI best practices. Learning, evaluating, and leveraging emerging AI tooling ecosystems including copilots, agent builders, orchestration platforms, and observability tools. Self-starter working independently as well as collaboratively to deliver high-impact outcomes. Providing technical leadership, guidance, and mentorship to junior AI engineers, fostering a culture of continuous learning and innovation. Demonstrating strong ownership of quality, reliability, security, and productivity, using efficient development practices, reusable components, and enterprise standards. #LI-LS1 You will be successful in this role if you have: BS/BE Degree with 5-8 years of relevant experience. Strong hands-on experience with Large Language Models (LLMs) and their application in agent-based and autonomous systems. Solid understanding of Agentic AI concepts, including planning, reasoning, and multi-agent collaboration. Solid understanding and hands-on experience agent orchestration frameworks and AI tooling ecosystems (e.g., CrewAI). Proficiency with Azure AI Services, including Azure OpenAI, Azure AI Doc Intelligence, Translator,

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Apply link verified; last checked Aug 3, 2026.

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