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ExlService Holdings
ExlService Holdings

60 Exl Senior Software Engineer Jobs Hiring Near You

ExlService Holdings, Inc.

Big Data Engineer

Pittsburgh, PA · On-site

$100K - $130K/yr

Big Data Engineer Summary We are looking for an experienced Big Data Engineer with 7-10 years of ... For more information, visit www.exlservice.com. EXL never requires or asks for fees/payments or ...

ExlService Holdings, Inc.

Sr. Data Analyst

New York, NY · On-site

$120K - $135K/yr

... and engineering teams to deliver scalable solutions. -Supporting project delivery, stakeholder communication, and executive reporting. Qualifications -Experience of working on corporate banking ...

ExlService Holdings, Inc.

Lead Assistant Manager

Hartford, CT · On-site

$41K - $52K/yr

We are seeking a Data Analytics Engineer with strong expertise in Python, SQL, and Google Cloud Platform (GCP) to design, develop, and maintain scalable data pipelines and analytics solutions. The ...

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ExlService Holdings Jobs Information

Do workers at ExlService Holdings get paid breaks?

Yes. Most people get paid breaks.
71% of people say they get paid breaks.
Based on data from 7 people who took the Breakroom Quiz between December 2024 and September 2025.

Does ExlService Holdings pay people when they’re sick?

Yes. Most people get paid when they’re sick.
75% of people say they would get paid if they were sick but scheduled to work.
Based on data from 8 people who took the Breakroom Quiz between December 2024 and September 2025.

Do workers at ExlService Holdings worry about hours?

Most people don’t worry about getting enough hours.
100% of people report they don’t worry about getting enough hours.
Based on data from 8 people who took the Breakroom Quiz between December 2024 and September 2025.

How easy is it to get time off at ExlService Holdings?

Most people find it easy to get time off.
67% of people report it’s easy to get time off.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and September 2025.

Do ExlService Holdings managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
88% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 8 people who took the Breakroom Quiz between December 2024 and September 2025.

Do jobs at ExlService Holdings spill into time workers aren’t paid for?

Rarely. The job doesn't usually spill into unpaid time.
0% of people report that their job takes up time that they don’t get paid for.
Based on data from 8 people who took the Breakroom Quiz between December 2024 and September 2025.

How easy is it to take sick days at ExlService Holdings?

Most people find it easy to take sick days.
100% of people report that it’s easy to take time off if they are sick.
Based on data from 7 people who took the Breakroom Quiz between December 2024 and September 2025.

Do people at ExlService Holdings feel treated with respect by their managers?

Most people feel treated with respect by their managers.
100% of people say they’re treated with respect by their managers.
Based on data from 7 people who took the Breakroom Quiz between December 2024 and September 2025.

Do people at ExlService Holdings get to take their breaks without interruption?

Most people get breaks without interruption.
86% of people report that they get to take their breaks without interruption.
Based on data from 7 people who took the Breakroom Quiz between December 2024 and September 2025.

Is it stressful to work at ExlService Holdings?

Some people feel stressed here.
43% of people say they often feel stressed at work.
Based on data from 7 people who took the Breakroom Quiz between December 2024 and September 2025.

Do people at ExlService Holdings enjoy their jobs?

Most people enjoy their job.
86% of people report they enjoy their job.
Based on data from 7 people who took the Breakroom Quiz between December 2024 and September 2025.

Do people at ExlService Holdings recommend working with their team?

Only some people recommend working with their team.
38% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 8 people who took the Breakroom Quiz between December 2024 and September 2025.

Do people get enough training when they start at ExlService Holdings?

Some people didn’t get enough training when they started.
63% of people report they didn’t get enough training when they started working here.
Based on data from 8 people who took the Breakroom Quiz between December 2024 and September 2025.

Do people get support to advance at ExlService Holdings?

Only some people are given support to advance their career here.
In the last year, 57% of people report not being given support to advance their career here.
Based on data from 7 people who took the Breakroom Quiz between December 2024 and September 2025.

Do people think ExlService Holdings’s headquarters understands what’s happening where they work?

Most people think headquarters doesn’t understand what’s happening where they work.
100% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and September 2025.

Do workers feel well informed about how ExlService Holdings is doing?

Only some people feel well informed about how the company is doing.
38% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 8 people who took the Breakroom Quiz between December 2024 and September 2025.

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Lead Engineer - GenAI, Agentic AI, and Knowledge Graph Architect

ExlService Holdings, Inc.

New York, NY • On-site

$140K - $200K/yr

Full-time

Posted 27 days ago

ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

134th of 494 rated business services

Job description


We are seeking a Lead Engineer - GenAI, Agentic AI, and Knowledge Graph Architect to design, develop, and deploy enterprise-scale intelligent systems that fuse Generative AI, autonomous agents, symbolic reasoning, and Knowledge Graphs.
The ideal candidate will bring strong expertise in Python, LLM-based systems, agentic frameworks, and knowledge-centric AI, with hands-on experience delivering production-grade GenAI or agentic solutions grounded using Knowledge Graphs.
As part of EXL's Digital AI R&D Innovation team, you will lead the architecture and implementation of agentic, reasoning-driven AI platforms, mentor engineers, shape technical strategy, and enable scalable AI solutions across multiple enterprise domains.
Responsibilities
  • Architect and implement neuro-symbolic AI solutions that combine:
    • Large Language Models and multimodal foundation models
    • Symbolic reasoning, business rules, constraints, and policy engines
    • Knowledge graphs and ontologies for grounding, reasoning, governance, and explainability
  • Design and implement enterprise knowledge graph architectures using appropriate graph paradigms and technologies, including:
    • Property graphs and labeled property graph models
    • RDF, RDFS, OWL, SHACL, and semantic knowledge graphs
    • Graph databases and platforms such as Neo4j, Amazon Neptune, Stardog, GraphDB, TigerGraph, JanusGraph, ArangoDB, or equivalent technologies
  • Design graph data models, schemas, ontologies, taxonomies, and canonical domain models aligned with enterprise use cases and data-governance requirements.
  • Develop and optimize graph queries and traversal patterns using technologies such as:
    • Cypher, SPARQL, Gremlin, GraphQL, or vendor-specific graph query languages
    • Graph indexing, partitioning, caching, and performance-optimization strategies
  • Lead the design and implementation of agentic AI systems, including:
    • Multi-agent orchestration
    • Tool use and function calling
    • Planning, reflection, routing, and task decomposition
    • Human-in-the-loop workflows
    • Agent memory and persistent state
    • Failure recovery, observability, evaluation, and governance
  • Architect and deploy scalable APIs (REST/WebSocket) for AI and agent workflows.
  • Deploy and maintain multiple GenAI / Agentic AI solutions in production, ensuring reliability, scalability, and security.
  • Integrate SQL, No-SQL, vector, and graph databases (Postgres, MongoDB, Neo4j, ChromaDB, etc.).
  • Provide technical leadership and mentorship to AI and platform engineers.
  • Collaborate with cross-functional teams to deliver AI solutions across banking, insurance, and healthcare domains.
  • Ensure governance, compliance, observability, and robustness of AI systems.
  • Stay current with advancements in Generative AI, agentic systems, symbolic reasoning, and knowledge-centric AI.
  • Document system designs and present solutions to both technical and non-technical stakeholders.

Qualifications
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or related field.
  • 7+ years of overall professional experience in AI/ML, Data Science, or advanced software engineering.
  • 5+ years of strong hands-on experience in Python, with solid software engineering best practices.
  • 3+ years of experience building Generative AI or Agentic AI systems, including production deployments.
  • Hands-on experience with LLMs, prompt engineering, and model integration.
  • Practical experience with Knowledge Graph design and implementation.
  • Deep understanding of knowledge graphs, graph data modeling, graph algorithms, and semantic technologies.
  • Proficiency in one or more graph query languages such as Cypher, SPARQL, or Gremlin.
  • Experienced with Semantic Web technologies and standards, including RDF (Resource Description Framework), OWL (Web Ontology Language), SPARQL, ontology modeling, reasoning engines, and graph-based knowledge representation for enterprise AI applications.
  • Proven experience deploying production-grade AI systems with scalability and reliability considerations.
  • Solid understanding of data pipelines, ETL, and data modeling.

Preferred Qualifications
  • Experience with LangGraph, AutoGen, LangChain, or similar agent orchestration frameworks.
  • Experience designing multi-agent systems and long-horizon reasoning workflows.
  • Knowledge of neuro-symbolic AI concepts, logic-based reasoning, or rule-based systems.
  • Experience with Graph Data Science (GDS) or graph-based inference techniques.
  • Familiarity with MLOps practices (CI/CD, monitoring, experimentation, retraining).
  • Experience working in regulated or enterprise environments.
  • Contributions to open-source projects, internal AI platforms, or applied AI research.
  • Strong problem-solving skills and ability to thrive in fast-paced R&D environments.

The typical base pay range for this role across the U.S. is USD $140,000 - $200,000 per year.
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale.
Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position.
The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

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