Solutions AI Architect, Healthcare Provider Job at NTT DATA (Plano)

AI Solutions Architect for Healthcare Payer and Life Science

Location

United States , Plano

Salary:

119578.00 - 221625.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, information systems, engineering, data science, healthcare informatics, or a related field
8+ years of experience in technology architecture, data architecture, analytics, AI/ML, or enterprise solution delivery
4+ years of experience supporting health plans, payers, managed care organizations, or healthcare administrative platforms
Hands-on experience designing AI, machine learning, generative AI, analytics, or automation solutions in production environments
Strong understanding of health plan business processes, including claims, membership, provider, utilization management, care management, quality, risk adjustment, and customer service
Experience with healthcare data standards and regulations, such as HIPAA, FHIR, HL7, X12 EDI, CMS interoperability requirements, and payer data exchange
Experience with major cloud platforms such as AWS, Azure, or Google Cloud, including data, AI, security, and integration services
Familiarity with modern AI patterns such as RAG, vector databases, prompt engineering, model evaluation, MLOps, LLMOps, and AI governance
Ability to communicate complex technical concepts to executive, clinical, operational, and technical audiences
Strong consulting, facilitation, problem-solving, and stakeholder management skills

Job Responsibility

Design end-to-end AI and generative AI solutions for health plan use cases, including architecture, data flows, integration patterns, model selection, governance, security, and deployment approach
Partner with health plan stakeholders to identify high-value AI opportunities, define business outcomes, assess feasibility, and shape implementation roadmaps
Lead solutioning for payer-specific domains such as claims, enrollment, benefits, prior authorization, medical management, provider data, quality measures, risk adjustment, member services, and regulatory reporting
Develop reference architectures using cloud platforms, data lakes, warehouses, MLOps pipelines, APIs, workflow tools, and enterprise integration patterns
Guide teams on applying large language models, retrieval-augmented generation, predictive analytics, natural language processing, intelligent automation, and decision support in healthcare settings
Collaborate with data scientists, engineers, clinicians, compliance teams, security architects, and delivery leaders to move concepts from prototype to production
Define responsible AI controls, including model monitoring, explainability, human-in-the-loop review, bias assessment, auditability, privacy, and regulatory compliance
Support pre-sales and client advisory activities, including solution presentations, proposals, estimates, demos, workshops, and executive briefings
Evaluate vendor platforms and AI tools across cloud, payer technology, data management, workflow automation, and clinical operations ecosystems
Create reusable assets, including solution blueprints, architecture patterns, implementation playbooks, data requirements, and governance frameworks

What we offer

Medical, dental, and vision insurance
Flexible spending or health savings account
Life and AD&D insurance
Short and long term disability coverage
Paid time off
Employee assistance
Participation in a 401k program with company match
Additional voluntary or legally-required benefits

Fulltime

Senior AI Solutions Architect

The Senior AI Solutions Architect at NTT DATA will play a crucial role in design...

Location

United States of America , Remote

Salary:

111000.00 - 207000.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

Minimum of 6 years of technical consulting experience
At least a couple of years of pre-sales experience designing & selling data center / AI infrastructure solutions
Bachelor's degree or equivalent in computer science, engineering, business or a related field
Certification and working knowledge of Enterprise Architecture methodologies (e.g., TOGAF, Zachman, SOA, ITIL, COBIT)
Safe Scaled Agile certification advantageous
Certified Software related certification is desired
Cisco CCIE and/or Cisco CCXP certification strongly desired
Advanced knowledge of multi-vendor service integrations and cross-functional software, OS’s and infrastructure designs
Advanced knowledge on how specific infrastructures and application software are deployed
Ability to develop and leverage advanced specialist knowledge of reference architectures

Job Responsibility

Architect end-to-end AI solutions: secure AI factories, data architectures, and automation frameworks
Identify and evaluate alternative architectures and the trade-offs in cost, performance and scalability
Produce specifications of cloud-based or on-premises components, tiers and interfaces
Support a change program or project through the preparation of technical plans and application of design principles
Accountable for understanding client requirements, collecting data, delivering analysis and problem resolution
Monitor the external environment to gather intelligence on emerging technologies
Create reports and technology roadmaps and share knowledge and insights with others
Design components using appropriate modelling techniques
Lead the technical response for RFPs/RFIs, including architecture diagrams, delivery plans, assumptions, estimates, and risk analysis
Build and deliver executive-level presentations and solution briefings

What we offer

Medical, dental, and vision insurance
Flexible spending or health savings account
Life, and AD&D insurance
Short-and long-term disability coverage
Paid time off
Employee assistance
Participation in a 401k program with company match
Additional voluntary or legally required benefits

Fulltime

Healthcare Provider Industry Solutions Managing Director

NTT DATA is seeking a Healthcare Provider Industry Solutions Managing Director t...

Location

United States , New Brunswick

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

12+ years of experience in Information Technology/Consulting overall experience with a focus on digital transformation
8+ years in a technology portfolio solutions leadership role with proven ability to design and deliver solutions in complex, cross-functional healthcare environments
Technical Expertise: Deep knowledge of digital transformation, AI, and emerging technologies
Innovation Mindset: Strong strategic planning skills with the ability to align R&D investments to future-focused offerings
7+ years of healthcare provider solutions or products leadership experience to include go-to-market offerings and portfolio focused on addressing value add offerings targeting client outcomes
Strategic Execution: Experience building transformation roadmaps and delivering integrated, multi-service solutions
Industry Presence: Active participation in industry events, thought leadership, and analyst and partner/alliance engagement
Executive Influence: Strong communication skills with the ability to engage and influence C-level stakeholders
Bachelor's degree or equivalent (12+ years of relevant industry experience)

Job Responsibility

Solution & Offering Development: Translate market trends into actionable and differentiated solution offerings
Align NTT DATA and partner capabilities to deliver high-value solutions for healthcare providers
Client Engagement: Support sales teams, focusing on C-suite engagement and strategic conversations
Contribute to go-to-market strategies and act as a subject matter expert in client discussions
Industry Thought Leadership: Represent NTT DATA in the healthcare market through publications, speaking engagements, and industry forums
Develop thought leadership content that highlights innovation and industry insights
Solution Delivery & Method Integration: Define and integrate delivery approaches across Applications, BPO, Consulting, Digital, and Infrastructure
Collaborate with Enterprise Architects and delivery teams to ensure cohesive solution execution
Partner & Analyst Management: Manage key relationships with industry partners and analysts
Oversee product lifecycle alignment and ensure solutions meet evolving market demands

Senior Director, AI Business Solutions Leader (Healthcare)

The Senior Director, AI Business Solutions Leader (Healthcare) oversees the team...

Location

United States , Multiple Locations

Salary:

155800.00 - 277200.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 10+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
5+ years people management experience, including managing consultant practice managers, technical sales managers, technical architect managers, and/or people managers
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 15+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 12+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
8+ years experience working in a customer-facing role (e.g., internal and/or external)
8+ years experience leading technical projects, teams, or functions
Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
8+ years people management experience, including managing consultant practice managers, technical sales managers, technical architect managers, and/or people managers
Health and Life Sciences industry experience

Job Responsibility

Holds team accountable for driving operational excellence and proven practice standards throughout all sales stages/activities/tools of record (e.g., pipeline updates, time tracking)
Drives team on orchestrating, collaborating, and influencing across Microsoft and customer/partner teams and leadership through on-strategy delivery to achieve customer/partner objectives and increase customer/partner satisfaction
Holds team accountable for anticipating and managing business and technical risks, adapting methodology and applying governance principles to identify, communicate, and minimize business and technical risks
Executes work in compliance with industry and Microsoft guidelines and procedures
Oversees continuous prioritization among competing demands in their work and identify where impact occurs with customers, ensuring alignment with business priorities and goals
Drives team on proactively identifying, anticipating, and setting the foundation with the customer/partner for new cross-solution opportunities for Consumption, Usage & Unified expansion (especially Enhanced Solutions) at scale based on business value to customer/partner and clear understanding of the Microsoft value proposition for supported platforms to empower cloud success, foster and strengthen security and resiliency, and drive AI innovation
Defines the need for change management to ensure team members develop thorough understanding of customer's business and operations to advise on potential solutions
Drives team on acting as a role model for strategically consulting with, actively listening to and respectfully challenging customers/partners, building trust to then advocate for alternative architectures/solutions/approaches that shape and/or enhance customer requirements
Oversees team on driving the identification, anticipation, and evaluation of industry trends (e.g., customer industry verticals, information technology [IT] industry), gathering of customer/partner insights (e.g., feedback around technical preferences, environments, business needs, competitive landscape), and mapping of both existing and novel architecture and digital transformation solutions to customer/partner business outcomes
Holds teams accountable for capturing opportunities in appropriate systems, processes, and tools, working collaboratively across the organization to execute on opportunities

Fulltime

AI Architect

Location

United States , New York, NY / Edison, NJ / Chicago, IL

Salary:

233000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Must have SI experience with larger IT service provider
10+ years of experience in software architecture or engineering, with at least 5+ years in AI/ML specifically
Proven experience designing and developing multi-agent AI systems in a production environment
Significant experience in the healthcare industry, with a deep understanding of clinical workflows, RCM, data standards (HL7, FHIR), and regulated environments
Expertise in multi-agent orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen)
Deep knowledge of LLM architectures, RAG implementation, and techniques for fine-tuning models
Extensive experience with cloud platforms (AWS, Azure, or GCP) and related AI services
Strong background in data engineering, including building ETL pipelines and managing vector stores
Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow)
Hands-on experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow)

Job Responsibility

System architecture: Define the architectural vision and strategy for agentic AI solutions, designing end-to-end architectures that include model integration, orchestration frameworks, memory systems, and tool-use capabilities
Technical leadership: Guide and mentor cross-functional teams of AI engineers, data scientists, and DevOps specialists on architectural patterns and best practices for building scalable and reliable agentic AI systems
Cloud infrastructure and MLOps: Design and deploy multi-agent AI systems on cloud platforms (AWS, Azure, or GCP), building and managing cloud-native AI pipelines with MLOps best practices for monitoring, evaluating, and scaling agents
Healthcare integration: Lead the integration of agentic AI solutions with existing healthcare systems, and other enterprise platforms, while ensuring data interoperability and security
Responsible AI: Ensure the implementation of strong AI governance, security, and ethical practices throughout the agent lifecycle, including bias mitigation, fairness checks, and compliance with healthcare regulations like HIPAA
Proof of concept and scaling: Lead proof-of-concept (PoC) initiatives to validate new agentic capabilities, then develop strategies to scale successful prototypes into production-ready systems
Technology evaluation: Evaluate and integrate a wide range of open-source and proprietary AI tools and technologies, including vector databases, orchestration frameworks (e.g., LangChain, CrewAI), and cloud-native AI services
Thought leadership: Stay current with the latest advancements in agentic AI, generative models, and multi-agent frameworks, driving innovation within the company and potentially presenting at industry conferences

Fulltime

AI Architect

Location

United States , New York, NY; Edison, NJ; Chicago, IL

Salary:

233000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Must have SI experience with larger IT service provider
10+ years of experience in software architecture or engineering, with at least 5+ years in AI/ML specifically
Proven experience designing and developing multi-agent AI systems in a production environment
Significant experience in the healthcare industry, with a deep understanding of clinical workflows, RCM, data standards (HL7, FHIR), and regulated environments
Expertise in multi-agent orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen)
Deep knowledge of LLM architectures, RAG implementation, and techniques for fine-tuning models
Extensive experience with cloud platforms (AWS, Azure, or GCP) and related AI services
Strong background in data engineering, including building ETL pipelines and managing vector stores
Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow)
Hands-on experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow)

Job Responsibility

System architecture: Define the architectural vision and strategy for agentic AI solutions, designing end-to-end architectures that include model integration, orchestration frameworks, memory systems, and tool-use capabilities
Technical leadership: Guide and mentor cross-functional teams of AI engineers, data scientists, and DevOps specialists on architectural patterns and best practices for building scalable and reliable agentic AI systems
Cloud infrastructure and MLOps: Design and deploy multi-agent AI systems on cloud platforms (AWS, Azure, or GCP), building and managing cloud-native AI pipelines with MLOps best practices for monitoring, evaluating, and scaling agents
Healthcare integration: Lead the integration of agentic AI solutions with existing healthcare systems, and other enterprise platforms, while ensuring data interoperability and security
Responsible AI: Ensure the implementation of strong AI governance, security, and ethical practices throughout the agent lifecycle, including bias mitigation, fairness checks, and compliance with healthcare regulations like HIPAA
Proof of concept and scaling: Lead proof-of-concept (PoC) initiatives to validate new agentic capabilities, then develop strategies to scale successful prototypes into production-ready systems
Technology evaluation: Evaluate and integrate a wide range of open-source and proprietary AI tools and technologies, including vector databases, orchestration frameworks (e.g., LangChain, CrewAI), and cloud-native AI services
Thought leadership: Stay current with the latest advancements in agentic AI, generative models, and multi-agent frameworks, driving innovation within the company and potentially presenting at industry conferences

Fulltime

AI Architect

Role: AI Architect

Location

United States , New York; Edison; Chicago

Salary:

233000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Must have SI experience with larger IT service provider
10+ years of experience in software architecture or engineering, with at least 5+ years in AI/ML specifically
Proven experience designing and developing multi-agent AI systems in a production environment
Significant experience in the healthcare industry, with a deep understanding of clinical workflows, RCM, data standards (HL7, FHIR), and regulated environments
Expertise in multi-agent orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen)
Deep knowledge of LLM architectures, RAG implementation, and techniques for fine-tuning models
Extensive experience with cloud platforms (AWS, Azure, or GCP) and related AI services
Strong background in data engineering, including building ETL pipelines and managing vector stores
Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow)
Hands-on experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow)

Job Responsibility

System architecture: Define the architectural vision and strategy for agentic AI solutions, designing end-to-end architectures that include model integration, orchestration frameworks, memory systems, and tool-use capabilities
Technical leadership: Guide and mentor cross-functional teams of AI engineers, data scientists, and DevOps specialists on architectural patterns and best practices for building scalable and reliable agentic AI systems
Cloud infrastructure and MLOps: Design and deploy multi-agent AI systems on cloud platforms (AWS, Azure, or GCP), building and managing cloud-native AI pipelines with MLOps best practices for monitoring, evaluating, and scaling agents
Healthcare integration: Lead the integration of agentic AI solutions with existing healthcare systems, and other enterprise platforms, while ensuring data interoperability and security
Responsible AI: Ensure the implementation of strong AI governance, security, and ethical practices throughout the agent lifecycle, including bias mitigation, fairness checks, and compliance with healthcare regulations like HIPAA
Proof of concept and scaling: Lead proof-of-concept (PoC) initiatives to validate new agentic capabilities, then develop strategies to scale successful prototypes into production-ready systems
Technology evaluation: Evaluate and integrate a wide range of open-source and proprietary AI tools and technologies, including vector databases, orchestration frameworks (e.g., LangChain, CrewAI), and cloud-native AI services
Thought leadership: Stay current with the latest advancements in agentic AI, generative models, and multi-agent frameworks, driving innovation within the company and potentially presenting at industry conferences

Fulltime

Enterprise AI Architect

The Enterprise AI Architect proactively and holistically works with enterprise d...

Location

United States

Salary:

118100.00 - 212500.00 USD / Year

Healthfirst

Expiration Date

Until further notice

Requirements

Master’s or bachelor’s degree in business, computer science, engineering, systems analysis, or related field, or equivalent experience
Minimum of two years of design and implementation experience in IT, including deep knowledge of AI/ML frameworks, AI development environments, cloud platforms, and big data technologies
Minimum of two years of experience in solution architecture development and delivery, including business architecture interpretation
Experience designing or implementing agent-based AI systems, autonomous agents, multi-agent orchestration, or workflow‑integrated AI components
Working knowledge of business process management (BPM), process modeling, and translating processes into agent-oriented workflows
Understanding of A2A communication principles, MCP-based tool integration, and foundational agent governance concepts
High School diploma or GED from an accredited institution

Job Responsibility

Collaborates with all delivery programs to assess solution requirements, evaluate AI/ML technologies, and support model/vendor selection
Provides architectural guidance to business domain aligned delivered programs by defining and designing AI‑enabling technologies that support business capabilities, processes, and enterprise initiatives
Supports design and governance of enterprise agentic AI architectures, including autonomous agents, multi‑agent systems, A2A communication patterns, and agent orchestration frameworks
Leads integration of Model Context Protocol (MCP) to standardize tool, service, and data access across agents, ensuring secure, auditable, and consistent interactions
Architects and operationalizes an enterprise Agentic Control Plane (ACP) to manage agent lifecycle, permissions, safety constraints, observability, escalation pathways, and runtime governance
Recommends business processes modernization options using business process management (BPM) and process mining methodologies to support agent-driven or multi‑agent execution
Supports delivery teams in implementing AI solution architectures aligned with enterprise reference architecture, security requirements, and governance protocols
Stays current with developments in AI research, agentic systems, orchestration frameworks, LLM methodologies, and emerging enterprise AI technologies
Conducts technology-neutral due diligence to evaluate AI platforms, agent frameworks, MCP compatibility, ACP infrastructure, and enabling tools
Partners with business stakeholders and delivery leaders to deliver architectural runway for highly composable AI and agent capabilities

What we offer

medical, dental and vision coverage, incentive and recognition programs, life insurance, and 401k contributions

Fulltime

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Solutions AI Architect, Healthcare Provider

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Job Responsibility

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