CrawlJobs Logo

AI Architect Director - Agentic Systems

nttdata.com Logo

NTT DATA

Location Icon

Location:
United States , Dallas

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

The AI Architect Director at NTT DATA will lead the design and implementation of innovative agentic AI systems across various domains, including healthcare and finance. With a strong background in Python, GenAI, and machine learning, the candidate will create solutions that enhance operational efficiency. A bachelor's degree in Computer Science is required, along with at least 8 years of relevant experience. This role offers an exciting opportunity to shape the future of AI in a dynamic environment.

Job Responsibility:

  • Design and implement agent-based AI workflows for different domains such as : healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
  • Design agentic AI architectures for manufacturing workflows
  • Build multi-agent financial AI systems (analysis agents, compliance agents, advisory agents)
  • Implement RAG over financial documents, policies, contracts, and filings
  • Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration)
  • Develop classical ML models (risk scoring, prediction, clustering, anomaly detection)
  • Implement HIPAA aware AI architectures with auditability and traceability
  • Implement GenAI systems using RAG over CRM, customer data, and content
  • Build full-stack applications (Python APIs, AI services, UI dashboards)
  • Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)
  • Integrate LLMs with sensor data, MES, ERP, and IoT platforms
  • Collaborate with SMEs to translate medical workflows into agent logic
  • Deploy, monitor, and optimize AI systems in Azure

Requirements:

  • 8+ Years of Strong experience in Python-based AI systems
  • 8+ Years of Hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
  • 8+ Years of Experience with traditional ML (classification, regression, NLP, time-series)
  • 5+ Years of Full-stack experience (API design + UI integration)
  • 5+ Years of Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS)
  • 5+ Years of Experience working in regulated or compliance-heavy domains
  • Comfortable working with subject-matter experts
  • Strong learning mindset and adaptability
  • Experience building production AI systems, not just prototypes
  • Ability to explain AI decisions to non-technical stakeholders
  • Interest in agentic AI and next-generation AI architectures
  • Bachelors in Computer Science or equivalent work experience

Additional Information:

Job Posted:
January 26, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for AI Architect Director - Agentic Systems

AI Architect Director - Agentic Systems

We are currently seeking a AI Architect Director - Agentic Systems to join our t...
Location
Location
United States , Dallas
Salary
Salary:
122648.00 - 283906.00 USD / Year
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ Years of Strong experience in Python-based AI systems
  • 8+ Years of Hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
  • 8+ Years of Experience with traditional ML (classification, regression, NLP, time-series)
  • 5+ Years of Full-stack experience (API design + UI integration)
  • 5+ Years of Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS)
  • 5+ Years of Experience working in regulated or compliance-heavy domains
  • Comfortable working with subject-matter experts
  • Strong learning mindset and adaptability
  • Experience building production AI systems, not just prototypes
  • Ability to explain AI decisions to non-technical stakeholders
Job Responsibility
Job Responsibility
  • Design and implement agent-based AI workflows for different domains such as: healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
  • Design agentic AI architectures for manufacturing workflows
  • Build multi-agent financial AI systems (analysis agents, compliance agents, advisory agents)
  • Implement RAG over financial documents, policies, contracts, and filings
  • Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration)
  • Develop classical ML models (risk scoring, prediction, clustering, anomaly detection)
  • Implement HIPAA aware AI architectures with auditability and traceability
  • Implement GenAI systems using RAG over CRM, customer data, and content
  • Build full-stack applications (Python APIs, AI services, UI dashboards)
  • Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)
  • Fulltime
Read More
Arrow Right

Associate Director of Commercial AI

The Associate Director of Commercial AI will drive the AI strategy for the Wellb...
Location
Location
United States , Englewood Cliffs; Hoboken; El Segundo
Salary
Salary:
141680.00 - 212520.00 USD / Year
unilever.com Logo
Unilever
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • An AI leader with deep understanding of commercial use cases and the ability to translate emerging technologies into tangible business impact. Combination of visionary and doer.
  • Expert in AI prompt engineering, workflow automation, and deploying agent-based systems.
  • Proven track record leading cross-functional teams through rapid experimentation, sprint development, and scaled deployment.
  • Strong background in CPG, ecommerce, or digitally native brands, with experience shaping pricing, promotion, innovation, category, and marketing strategies using data and AI.
  • Exceptional communicator capable of educating and influencing senior stakeholders and large commercial organizations.
  • Comfortable navigating ambiguity, simplifying complexity, and driving organizational change in large, matrixed environments.
  • Curious, execution-focused, and energized by building new capabilities from zero to one—and then scaling them globally.
  • Strong business judgment with the ability to balance speed, governance, and strategic priority.
  • Bachelor's degree.
Job Responsibility
Job Responsibility
  • Drive the AI strategy for the Wellbeing Collective by defining and delivering scalable, high‑impact AI capabilities across the commercial ecosystem.
  • Partner closely with commercial leaders, including eCommerce, Media, Sales, Marketing, and Finance, to shape the enterprise AI roadmap and ensure AI is embedded into core decision‑making and operating models.
  • Identify and implement AI solutions across pricing, promotion optimization, analytics, forecasting, media and creative generation, and sales productivity, working with SMEs to define benchmarks and best practices.
  • Lead cross‑functional sprint teams to prototype, pilot, and scale meaningful AI use cases, while managing a structured experimentation roadmap with robust hypothesis design and outcome measurement.
  • Oversee vendor assessments and build‑vs‑buy evaluations, guiding procurement and technical due diligence.
  • Establish governance frameworks for safe and responsible AI adoption, and managing global tooling, localization, and market activation.
  • Define and track KPIs to measure AI‑driven value creation, including revenue, margin, productivity, and operational efficiency outcomes.
  • Architect and optimize workflows leveraging cutting‑edge AI and automation technologies (Gumloop, ChatGPT Agent Builder, Microsoft Copilot, and internal Unilever platforms).
  • Deploy, maintain, and optimize AI workflow software across the organization, ensuring seamless integration with existing Unilever systems and processes.
  • Drive measurable business outcomes by championing AI solutions for revenue growth, margin enhancement, and cost reduction across key commercial functions.
What we offer
What we offer
  • Bonus eligible.
  • Long-Term Incentive (LTI) eligible.
  • Eligible to participate in benefits plan which may include: health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, access to numerous voluntary benefits.
  • Fulltime
Read More
Arrow Right

Executive Director – Customers and Sales Engagement Platforms

We’re building a world of health around every individual — shaping a more connec...
Location
Location
United States , Buffalo Grove
Salary
Salary:
175100.00 - 334750.00 USD / Year
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
June 30, 2026
Flip Icon
Requirements
Requirements
  • 15+ years of progressive technology leadership experience, including at least 7–10 years managing large, complex CRM, AI, or enterprise platform environments
  • Deep expertise in Salesforce technologies—Sales Cloud, Service Cloud, CPQ, Experience Cloud, integrations, data architecture, and platform operations
  • Proven experience delivering AI/ML or agentic AI solutions (e.g., workflow agents, copilots, predictive insights) in a revenue‑facing domain such as sales, customer success, or account management
  • Demonstrated ability to lead large, multi-disciplinary technical teams, including directors, architects, engineers, platform operations, and vendor partners
  • Strong architecture background with hands-on understanding of API strategies, data pipelines, integration patterns, security frameworks, and cloud-native engineering
  • Track record of driving digital transformation, modernizing legacy systems, and delivering enterprise-grade technology programs with measurable business outcomes
  • Exceptional stakeholder management and communication skills, with experience partnering with senior Sales, Customer Success, Product, and Enterprise Tech leaders
  • Financial management experience, including budget ownership, investment planning, vendor negotiation, and licensing optimization
  • Knowledge of responsible AI principles, governance, data privacy, and compliance requirements relevant to enterprise applications
  • Agile/lean delivery leadership with proven success improving delivery throughput, team maturity, and operational reliability
Job Responsibility
Job Responsibility
  • Defining and guiding the development of Agentic AI solutions that enhance seller productivity, automate workflows, and elevate the account management experience
  • Full oversight of Salesforce platform support and engineering activities, including system architecture, environment management, integrations, data quality, governance, and continuous modernization efforts
  • Leading a team of lead directors, architects, and technology professionals—providing mentorship, performance management, and career development
  • Partnering closely with Sales, Account Management, Product, Data, and Enterprise Technology stakeholders to ensure alignment of technology initiatives to business outcomes
  • Fostering a culture of innovation, collaboration, and accountability
What we offer
What we offer
  • Medical, dental, and vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • Bonus, commission or short-term incentive program
  • Equity award program
  • Fulltime
Read More
Arrow Right

Senior Director of AI Engineering

Coherent Solutions, Incorporated, seeks a Senior Director of AI Engineering in M...
Location
Location
United States , Minneapolis
Salary
Salary:
322000.00 USD / Year
coherentsolutions.com Logo
Coherent Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree in Computer Science, Data Science, Statistics, Computer Engineering, or a closely related technical field
  • at least 10 years of experience in AI, Machine Learning, Data Science, or Advanced Analytics, including at least 5 years in a technical or executive leadership capacity
  • 10 years of: (i) developing, training, and deploying AI and machine learning models using Python, SQL, Spark, and modern statistical and deep-learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
  • and (ii) building predictive modeling systems for enterprise use cases, including propensity models for quality and risks
  • 5 years of: (i) architecting and delivering end-to-end AI platforms and production workflows using Azure, AWS, Databricks, and MLOps tooling such as Spark pipelines, MLflow, and CI/CD automation
  • (ii) applying predictive analytics and/or advanced machine learning techniques (natural language processing and computer vision) to real-world product or enterprise applications
  • (iii) leading teams of Data Scientists, ML Engineers, and AI practitioners within Agile environments
  • and (iv) driving AI strategy and governance, including collaboration with executive stakeholders on ROI modeling, product direction, and roadmap
  • presenting complex AI outcomes to non-technical and C-level audiences, and implementing Responsible AI and data governance frameworks
  • at least 2 years of experience with GenAI/orchestration frameworks, including LangChain or LangGraph
Job Responsibility
Job Responsibility
  • Develop and execute comprehensive go-to-market and engineering strategies for AI, ML, and Generative AI offerings, aligned with corporate objectives set by the CTO
  • Design and oversee scalable AI architectures and MLOps frameworks using Azure ML, AWS Bedrock/SageMaker, Databricks, MLFlow, LangChain/LangGraph
  • Lead the development, validation, and deployment of machine learning and statistical models for prediction, personalization, optimization, and risk detection
  • Apply statistical and causal inference methods - regression, Bayesian inference, and uplift modeling - to measure model performance and business ROI
  • Direct the creation and maintenance of experimentation and analytics platforms supporting continuous testing, ML lifecycle automation, and reproducibility at enterprise scale
  • Oversee development of AI accelerators and reusable components in areas such as NLP, Generative AI, Computer Vision, and Agentic AI
  • Oversee management of data engineering and analytics infrastructure, ensuring data reliability, lineage, and compliance across distributed data pipelines using Python, SQL, and Spark
  • Lead implementation of Responsible AI frameworks, including bias detection, model explainability, and compliance with ethical and regulatory standards (GDPR, SEC/FINRA)
  • Partner with Sales, Marketing, and Delivery teams to define AI-driven value propositions and support client acquisition through technical pre-sales engagement and executive presentations
  • Serve as senior technical advisor to client executives, shaping multi-year AI roadmaps and quantifying business impact
What we offer
What we offer
  • health insurance
  • vision insurance
  • dental insurance
  • life insurance
  • PTO
  • 401k
  • HSA
  • Fulltime
Read More
Arrow Right

Digital Solutions Architect Senior Director

The Senior Director, Digital Solutions Architect role involves designing innovat...
Location
Location
United States , Plano
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in Financial Services, with deep exposure to Finance & Accounting business architecture in retained orgs and Global Delivery Centers
  • Proven experience designing Agentic F&A models, including target operating models, process redesign, and modernization of customer journeys
  • Strong understanding of digital transformation, automation strategies, and BPaaS models within F&A functions
  • Familiarity with AI/ML concepts (LLMs, orchestration frameworks, agentic systems), even if not hands-on
  • Comfortable engaging C-level executives, translating complex topics into clear business narratives
  • Excellent communication, executive storytelling, and stakeholder management skills
Job Responsibility
Job Responsibility
  • Design end-to-end Finance & Accounting solutions across Record-to-Report (R2R), Procure-to-Pay (P2P), Order-to-Cash (O2C), Treasury, and Financial Planning & Analysis (FP&A)
  • Develop BPaaS operating models integrating people, process, technology, and data
  • Support large outsourcing and transformation deals through solution design, pricing inputs, and value articulation
  • Create solution blueprints, operating models, and transformation roadmaps for client engagements
  • Help build industry-specific finance BPaaS offerings for sectors such as: Manufacturing, Life Sciences & Pharma, CPG, Technology
  • Develop reusable solution accelerators, reference architectures, and automation frameworks
  • Architect BPS solutions leveraging modular agentic platforms, autonomous workflows, and decision-support systems
  • Define data, process, and ontology models in collaboration with engineering, ML, and semantic modeling teams
  • Establish reusable domain components that accelerate transformation across F&A clients
  • Lead discovery sessions to understand client workflows, pain points, and operational constraints
Read More
Arrow Right

Director, Agent Suite - Solutions Architect

As a Director-level Solutions Architect, you are the forward deployed technical ...
Location
Location
Poland , Warsaw
Salary
Salary:
Not provided
mastercard.com Logo
Mastercard
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven track record in solutions architecture/technical consulting/FDE (fintech, payments, or enterprise AI preferred)
  • Integration experience with core banking, ERP (SAP/Oracle/Workday), or treasury systems
  • Strong API design, event-driven architecture, and cloud-native delivery across 2+ of Azure/AWS/GCP
  • Hands-on agentic AI frameworks/orchestration (e.g., LangChain, AutoGen, Copilot Studio) incl. cost/latency trade offs, context engineering, and observability
  • Fluent English plus required local market language
Job Responsibility
Job Responsibility
  • Design and support deployments inside client infrastructure (cloud/data/LLM agnostic) that integrate Mastercard assets and fit client agent strategies
  • Translate Mastercard's technology platforms, payments intelligence, and advisory capabilities into working architectures
  • Own technical solutioning from discovery and architecture through validated proof of concept
  • Build systems designed for robustness and resilience — with full auditability, appropriate guardrails, and clear visibility and observability throughout
  • Codify best practices from client work
  • Provide structured feedback to Product/Engineering/GTM/Partnerships on outcomes, requirements, and emerging risks/opportunities
  • Build deep Agent Suite expertise and payments ecosystem intuition
  • Create reusable reference architectures, integration patterns, and accelerators
  • Operate effectively in a fast-evolving, cross functional environment
  • Represent Mastercard technical standards and trust expectations with clients and partners
  • Fulltime
Read More
Arrow Right

Engineering Director, AI Solutions and Automation (ASA)-AI Product Acceleration

We are seeking a highly accomplished Engineering Director with extensive technic...
Location
Location
United States , Bellevue, WA
Salary
Salary:
271000.00 - 347000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years of experience growing and leading successful Engineering teams, with a proven ability to recruit, land, and grow both engineering technical managers and individual contributors
  • Extensive expertise (15+ years) in Machine Learning (ML), and Artificial Intelligence (AI), with a history of functioning as a technical leader or lead architect on production systems
  • Extensive experience building and deploying complex, large-scale, distributed AI/ML software systems from the ground up
  • Experience as a great collaborator, building models and processes for aligning work across large, multi-disciplinary teams (Engineering, Data Science, Product Management)
  • Hands-on technical experience in relevant ML/AI languages (e.g., Python, C++) and applying data-driven methodologies to define and manage large software projects
  • Demonstrated ability to drive technical strategy and execution in cutting-edge AI domains like multi-modal processing, model evaluation, or RL-based post-training
Job Responsibility
Job Responsibility
  • Lead and manage teams of AI applied researchers and engineers, providing extensive technical guidance, mentorship, and support to ensure the successful end-to-end delivery of high-quality, scalable AI/ML systems
  • Serve as the technical authority, driving the design, development, and deployment of complex AI solutions, including LLM post-training techniques (like Reinforcement Learning and Fine-Tuning), Multi-modal Content Understanding, and Agentic AI platforms
  • Define and lead the long-term technical strategy and roadmap for large, enterprise-wide AI efforts, ensuring alignment with the ASA mission to deliver cost-efficient and performant AI models
  • Foster an environment of innovation, rapid prototyping, and technical excellence, encouraging experimentation and continuous improvement in the pursuit of SoTA performance
  • Identify new, high-leverage opportunities for LLM-based automation across Meta's product portfolio and influence cross-functional partners for appropriate staffing and prioritization
  • Supervise the development of AI-centric platforms, such as the AI Evaluation and scalable inference and serving infrastructure for 1P, 2P, and 3P models
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Principal Architect

The Lead Low-Code Engineer will be the principal technical leader responsible fo...
Location
Location
United States , Menlo Park
Salary
Salary:
Not provided
outsystems.com Logo
OutSystems
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of hands-on, expert-level experience with the OutSystems platform, including significant time in a Lead, Principal, or Architect role designing and deploying large-scale, mission-critical enterprise applications
  • Proven ability to define and implement complex, scalable low-code architectures, including multi-layer application models, environment management, and data separation strategies
  • Deep knowledge of building robust integrations (consuming/exposing REST/SOAP APIs) and experience with platform extensibility (using C# or Java) when required
  • Expertise in diagnosing and optimizing OutSystems application performance, including server-side logic, data queries, and deployment architecture
  • Architectural Vision: Proven ability to translate strategic goals into clear, executable technical architecture roadmaps
  • Team Leadership: Demonstrated success in leading, motivating, and upskilling technical teams, driving both quality and speed
  • Governance Mindset: Strong passion for establishing and enforcing technical standards and best practices to ensure long-term stability and maintainability of solutions
Job Responsibility
Job Responsibility
  • Define Low-Code Architecture: Establish and enforce the reference architecture for all solutions built on the OutSystems platform, prioritizing modularity, scalability, security, and performance (e.g., component reuse, data modeling, environment strategy)
  • Standardization: Develop and maintain the low-code best practice guide for the team, covering areas like code structure, application lifecycle management (ALM), defensive programming, and integration security
  • Quality & ALM: Oversee the team’s use of OutSystems LifeTime, internal CI/CD pipelines, and testing frameworks to ensure rapid, reliable, and high-quality deployment of packaged solutions
  • Integration Strategy: Define the patterns for robust and secure integration between the OutSystems low-code applications and external services, specifically the AI Agent APIs and other enterprise systems
  • Hands-On Leadership: Act as the technical Subject Matter Expert (SME) for complex OutSystems issues, personally leading the development of critical architectural components and accelerators
  • Mentorship & Review: Conduct comprehensive low-code code reviews, mentor Senior Engineers, and drive continuous improvement in the team’s technical skills and productivity
  • Tooling: Research and recommend advanced OutSystems features, external integrations, and development tools to maximize the efficiency of the solutions factory
  • Work closely with the Lead AI Engineer and Lead Front-End Engineer to ensure seamless and efficient integration between the user experience layer, the low-code business logic, and the core AI agent back-ends
  • Collaborate with the Director of Solutions to align low-code technical strategy with the overall solutions roadmap and platform capabilities
What we offer
What we offer
  • Real career opportunities
  • Work colleagues that are as smart, hard-working, and driven as you
  • A company that is always growing, changing, and innovating
  • Fulltime
Read More
Arrow Right