Client-facing technical role embedding with enterprise customers to deploy AI models, agentic workflows, and data pipelines into production; build, code, troubleshoot solutions, and provide platform feedback.
Overview:
EXL, a global consultancy, seeks Computer Science, Computer Engineering, Analytics, Math and Multidisciplinary majors who are willing to learn an Agentic AI product suite and then go into industry as a Forward Deployment Engineer.
This role is client-facing, hands-on technical role that embeds with enterprise customers to deploy AI models and agentic workflows into production environments. They bridge the gap between the EXLdata.AI platform team focusing practical application, building, coding, and troubleshooting solutions to solve complex business problems while providing feedback to improve the core AI platform.
ResponsibilitiesOverview:
EXL, a global consultancy, seeks Computer Science, Computer Engineering, Analytics, Math and Multidisciplinary majors who are willing to learn an Agentic AI product suite and then go into industry as a Forward Deployment Engineer.
This role is client-facing, hands-on technical role that embeds with enterprise customers to deploy AI models and agentic workflows into production environments. They bridge the gap between the EXLdata.AI platform team focusing practical application, building, coding, and troubleshooting solutions to solve complex business problems while providing feedback to improve the core AI platform.
QualificationsRequirements:
- Master’s degree in Computer Science, Computer Engineering, Data Science, Analytics, Mathematics, or a related technical field
- Strong programming skills in one or more languages such as Python, Java, or Scala
- Foundational knowledge of machine learning, artificial intelligence, and/or data engineering concepts
- Exposure to building, testing, or deploying models or data pipelines through academic projects, internships, or research
- Familiarity with modern AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, or similar)
- Understanding of APIs, system integration, and working with structured and unstructured data
- Strong problem-solving skills with the ability to translate business challenges into technical solutions
- Excellent communication skills and ability to work directly with clients in a professional setting
- Ability to thrive in ambiguous, fast-paced environments and quickly learn new technologies
- Willingness to travel and work on-site with enterprise clients as needed
Preferred Qualifications:
- Exposure to cloud platforms such as AWS, Azure, or Google Cloud
- Experience with LLMs, generative AI, or agent-based workflows
- Knowledge of data engineering tools (e.g., Spark, Databricks, Airflow)
- Prior client-facing experience through internships, consulting projects, or research collaborations
- Understanding of software development best practices (version control, CI/CD, testing)
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.
Similar Jobs
Information Technology • Database • Consulting
Deploy and optimize EXLdata.ai in client cloud environments, troubleshoot infra/IAM/pipeline issues, build and customize data pipelines (PySpark/SQL/Databricks/Snowflake), integrate GenAI agents, drive client value realization, and feed product feedback to engineering while providing white-glove managed-service support.
Top Skills:
Ai/GenaiApi ManagementAWSAzureBigQueryCi/CdCrewaiDatabricksDataprocDockerExldata.AiGCPGlueIamKinesisKubernetesLangchainLanggraphPrivate NetworkingPysparkPythonRedshiftSecrets ManagementSnowflakeSQLSynapseVpc
Big Data • Analytics • Business Intelligence • Big Data Analytics
The Forward Deployment Engineer will deploy and optimize Generative AI solutions on-site, collaborating with engineering teams to operationalize AI systems across multi-cloud platforms.
Top Skills:
AutogenAWSAws BedrockAzureAzure OpenaiChromaData ScienceGCPGcp Vertex AiGenerative AiGoHugging FaceKubernetesLangchainLlamaindexLlm OrchestrationMachine LearningMilvusOpentofuPgvectorPineconePythonPyTorchQdrantSagemakerTerraformTgiTriton Inference ServerVllm
eCommerce • Healthtech • Kids + Family • Retail • Social Media
Write, edit, build, and QA sponsored email campaigns; set branded email standards; develop and coach AI-assisted production workflows; analyze email performance and report monthly; manage multiple high-volume assignments and flex into other branded content formats.
Top Skills:
ChatgptClaudeFigmaGeminiSlack
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
