E

EXL

Analyzes business data and runs outsourced operations

Software Architect - Healthcare AI & Cloud Solutions

Software EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • 12+ years of experience in software technology.
  • 5+ years in a senior product/platform leadership capacity.
  • Prior experience launching at least two successful, long-running enterprise-scale platforms in a regulated, data-intensive industry.
  • A bachelor's degree in computer science.
  • Strong business and domain acumen in U.S. healthcare systems.
  • Strong command of the U.S. healthcare payer domain, especially claims processing, adjudication, and payment integrity.
  • Regulatory familiarity with HIPAA, CMS audit requirements, and healthcare data interoperability.
  • Proven success building platforms that scale across large healthcare client portfolios.
  • Experience modernizing legacy systems into modular, API-first, scalable platforms.
  • Effective communication, executive presence, and storytelling ability.
  • Ability to lead through influence, ambiguity, and complexity.
  • Programming proficiency in Python, Spark, SQL, dotNet, Web, and real-time pipeline orchestration, plus at least two additional programming languages.
  • Knowledge of database technologies including Databricks, SQL Server, Oracle, PostgreSQL, columnar, distributed, graph, temporal, and document databases; ORM; and high availability and disaster recovery topologies.
  • Knowledge of ETL/ELT pipelining tools and data quality.
  • Knowledge of streaming, high-volume transactions, and concurrency.
  • Knowledge of OCR, unstructured data parsing, and event-driven workflows.
  • Knowledge of Power BI, Tableau, and KPI-driven dashboards.
  • Knowledge of HIPAA, SOC 2, PII handling, and auditability frameworks.
  • Knowledge of GitOps, Infrastructure as Code, and automated deployment and testing pipelines.
  • Familiarity with generative AI, agentic AI, natural language processing, prompt engineering, and large language model frameworks.
  • Knowledge of Windows and Linux.
  • Knowledge of Azure services including ADF, Databricks, ADLS, and Synapse, as well as API architecture and microservices.

Responsibilities

  • Develop solution, application, performance, and enterprise architectures and designs for solutions supporting digital transformation in the U.S. healthcare market.
  • Build modular, intelligent, and scalable platforms that enhance claims accuracy, reduce cost, and unlock new revenue streams.
  • Develop designs, architectures, best practices, templates, standards, guidelines, and models in support of one- and five-year payer market strategy and business growth targets.
  • Create application and database architectures for scaling, configurability, compliance, and modular reuse across cloud platforms including Azure and AWS, Databricks, and SQL Server, and on-premises platforms including Windows and dotNet.
  • Incorporate AI and large language model approaches to augment productivity, quality, and efficacy of transactional applications and combine unstructured data with structured data.
  • Assess existing applications and databases for scalability and develop solutions for performance bottlenecks and growth.
  • Evaluate new application development technologies.
  • Develop proofs of concept for new applications, services, and application components to demonstrate approaches to scalable data architectures.
  • Evaluate manual and automated business processes and recommend solutions to improve productivity, quality, flexibility, and throughput.
  • Assist with business proposal development and presentations to management and customers.
  • Mentor, train, and provide expert assistance to development teams.
  • Provide Level 3 production support as needed.
  • Assist with project planning, Agile methodology implementation, and daily planning and execution activities.
  • Represent the technical perspective in executive meetings, cross-functional governance sessions, and client-facing solution presentations.

Desired Qualifications

  • A master's degree in computer science and/or business management.
  • AWS experience.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1999

Recently Posted Jobs

Explore more opportunities at EXL

See more jobs