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gen ai solution architect-6 Jobs in Jersey City

gen ai solution architect-6

python developer– generative ai & cloud (agentic ai)-6 Jobs in Jersey City

ai platform architect

NTT DATA

<div>At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here. 
 
For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy. 
 
NTT DATA Services currently seeks a AI Platform Architect to join our team in Jersey City, NJ. 
 
The AI Platform Architect designs and governs CLIENT's enterprise-scale AI and GenAI platforms, ensuring solutions are secure, scalable, compliant, and production-ready. This role combines hands-on cloud architecture with deep understanding of AI infrastructure and MLOps/LLMOps. 
 
Key Responsibilities 
<ul><li>Design end-to-end AI platform architectures, including GenAI and agentic systems</li><li>Define standards for model deployment, monitoring, versioning, and lifecycle management</li><li>Architect secure, compliant cloud-native AI platforms (Azure/AWS/GCP)</li><li>Partner with engineering teams on Python-based services, APIs, and orchestration layers</li><li>Define LLMOps/MLOps patterns for enterprise use</li><li>Ensure alignment with risk, security, identity, and compliance requirements</li><li>Evaluate and select AI frameworks, tools, and cloud services</li><li>Contribute to long-term AI platform roadmap and scalability planning</li></ul> 
Minimum Skills Required: Required Qualifications 
<ul><li>8+ years in platform or cloud architecture roles</li><li>Strong hands-on experience with Python-based backend systems</li><li>Deep experience with cloud-native architectures (containers, APIs, IaC)</li><li>Experience supporting AI/ML platforms in production</li><li>Familiarity with governance in regulated environments</li></ul> 
What Differentiates Strong Candidates 
<ul><li>Experience architecting GenAI, RAG, or agentic AI platforms</li><li>Prior ownership of enterprise AI governance frameworks</li><li>Background in financial services AI platforms</li></ul> 
About NTT DATA Services: 
 
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more. 
 
NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team. 
 
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is $ 90-$96.50/hour.. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. 
 
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&amp;D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.</div>

AI Platform Architect

Information Technology Senior Management Forum

<div><div>Posted Date
3/10/2026
</div><div>Description
<div>We are seeking a highly skilled and motivated Machine Learning Engineer to join our technology team. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge applications that leverage Generative AI and Large Language Models (LLMs). This role involves architecting end-to-end platform services with a focus on scalability, reliability, and performance. You will be a key player in driving the implementation of new AI-driven systems and programs that will impact all business line at Citi globally.
Responsibilities<ul><li>
Architect and Build AI Solutions: Design and architect end-to-end platform capabilities and services that integrate with Generative AI technologies.</li><li>
Implement RAG Solutions: Develop and deploy solutions using VectorRAG and GraphRAG techniques with both open-source and commercial Large Language Models.</li><li>
Develop AI Workflows: Apply a strong understanding of Agentic AI workflows and frameworks to build sophisticated, automated systems.</li><li>
Drive DevOps Best Practices: Implement robust CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline the development and deployment of machine learning models.</li><li>
End-to-End Project Ownership: Manage your deliverables from conception to deployment, proactively identifying and mitigating risks to ensure project goals are met.</li><li>
Rapid Prototyping: Perform and lead quick proof-of-concept (POC) projects to evaluate and demonstrate the feasibility of new GenAI use cases.</li><li>
Ensure System Integrity: Appropriately assess and manage risk in all technical and business decisions, ensuring compliance with applicable laws, rules, and regulations, and maintaining transparency in reporting and managing control issues.</li><li>
Collaborate and Innovate: Work closely with cross-functional teams to solve complex problems, adapt quickly to changing priorities, and contribute to a culture of innovation.</li></ul>
Required Qualifications<ul><li>
Experience: 5+ years of relevant experience in Software Development or a Systems Analysis role, with a strong focus on machine learning.</li><li>
Programming Skills: Strong object-oriented programming skills with expert-level proficiency in Python.</li><li>
AI/ML Expertise: Deep experience with AI/ML frameworks (e.g., Langchain) and hands-on experience with Generative AI technologies and Large Language Models.</li><li>
Application Development: Proven experience building applications that apply LLMs and GenAI to use cases such as search, chat agents, and guided analytics.</li><li>
DevOps Knowledge: Strong, working knowledge of DevOps tools (e.g., Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices.</li><li>
Architectural Understanding: Solid understanding of modern software development practices, including microservices architecture and API design principles.</li><li>
Data Proficiency: Experience with various data storage solutions (e.g., NoSQL, SQL, data lakes) and data pipeline orchestration.</li><li>
Problem-Solving: Excellent analytical and problem-solving skills with a proven ability to troubleshoot complex technical issues and provide innovative solutions.</li></ul>
Education:
Bachelor's Degree in Computer Science, Computer Engineering, Information Systems or equivalent work experience
Desired Skills
<ul><li>Cloud Architecture: Experience with various cloud platforms (e.g., AWS, GCP, Azure) and architectures (e.g., single/multi-tenant).</li><li>
Large-Scale Systems: Experience designing and implementing microservices-based architectures for large-scale platforms in complex environments.</li><li>
Leadership: Demonstrated leadership, project management skills, and a proven track record of self-motivation and continuous learning.</li></ul>
-
Job Family Group:
Technology
-
Job Family:
Applications Development
-
Time Type:
Full time
-
Primary Location:
Jersey City New Jersey United States
-
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
AI Frameworks, Generative AI, Large Language Model (LLM) Fine-Tuning, ML Frameworks, Python (Programming Language).
-
Anticipated Posting Close Date:
Mar 16, 2026
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>
</div><div>Salary
142,320.00 - 213,480.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Machine Learning Engineer Vice President

Realign

<div>Jersey City, New Jersey 07030 Posted March 12th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Role: GEN AI Solution Architect</div><div>
 Location - Jersey City, NJ</div><div>
 Experience - 8 - 14 years of experience</div><div>
 Fulltime Permanent FTE</div><div>
 Technical Expertise:</div>
GEN AI Solution Architect<ul>
Product Roadmap &amp; Modular Design - Define the product vision and roadmap for reusable Gen AI modules (e.g., RAG, prompting frameworks, hybrid ML/LLM systems). - Architect parameterized, business-agnostic solutions that abstract complexity (e.g., pre-configured prompts, vector DB connectors, chunking logic</ul><ul> 
Design APIs and microservices to expose modules as reusable components (e.g., &quot;text-to-SQL service,&quot; &quot;RAG-as-a-service&quot;).</ul><ul> 
Technical Leadership - Standardize patterns (e.g., prompt templates, chunking strategies, few-shot training pipelines) across use cases</ul><ul> 
Integrate LLM workflows (e.g., OpenAI, Claude) with traditional ML (clustering, classification) and enterprise systems (databases, UI tools). - Optimize performance of Gen AI components (cost, latency, accuracy) and ensure scalability (e.g., load balancing for vector DBs).</ul><ul><ul><li> 
Adoption &amp; Enablement - Develop documentation, tutorials, and sandbox environments for testing modules. &ndash; Train teams on best practices (e.g., prompt engineering, security for LLM outputs)</li></ul></ul><ul><ul><li> 
Track metrics: Module reuse rate, contribution volume, time-to-deploy for new use cases. Required Skills &amp; Experience Technical Expertise - Gen AI/ML Engineering: - Hands-on experience with LLM integration (e.g., OpenAI, Anthropic, Llama 2) and frameworks (LangChain, LlamaIndex). - Expertise in RAG workflows: Document chunking (sentence transformers), vector DBs (Pinecone, FAISS), and hybrid search</li></ul>
Familiarity with text-to-SQL systems, few-shot/chain-of-thought prompting, and traditional ML(clustering with scikit-learn, PyTorch). - Software Engineering: -</ul><ul> 
Proficiency in Python, API design (FastAPI, Flask), and cloud platforms (AWS Sagemaker, Azure AI). - Experience with CI/CD, containerization (Docker), and infrastructure-as-code (Terraform).</ul><ul><ul><li> 
UI/Integration Skills: - Frontend integration (React/Streamlit for config UIs) and middleware (message queues, auth systems like R2D2). Product &amp; Strategy - Proven track record of building reusable ML/API products or internal platforms.</li></ul></ul>
Required Skills
PERFORMANCE ARCHITECT</div>

GEN AI Solution Architect-6

Tiger Analytics

<div>Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. 
Requirements 
Key Responsibilities<ul><li>
Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.</li><li>
Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases.</li><li>
Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring.</li><li>
Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets.</li><li>
Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems.</li><li>
Lead the migration of legacy data systems to modern cloud-based data architectures.</li><li>
Develop and maintain CI/CD pipelines for data workflows and platform automation.</li><li>
Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications.</li><li>
Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices.</li></ul>
Required Skills<ul><li>
8+ years experience as a Data Engineer working with AWS cloud services.</li><li>
Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools.</li><li>
Experience building data pipelines using Databricks, Apache Spark, and SQL.</li><li>
Experience with Apache Airflow for workflow orchestration.</li><li>
Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks.</li><li>
Experience with CI/CD pipelines and version control systems (Git).</li><li>
Exposure to Generative AI or LLM-based applications.</li><li>
Experience supporting data pipelines for AI/ML workloads.</li><li>
Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures.</li><li>
Experience working with LLM APIs or AI frameworks such as LangChain.</li><li>
Understanding of MLOps workflows and model deployment pipelines.</li></ul> 

Benefits 
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.</div>

Senior Data Engineer

Character Biosciences

<div>
 
 About Character Biosciences
 
 
 
 Character Biosciences is a precision medicine company pioneering targeted therapies for ophthalmology. Our patient data platform integrates genomics with deep, longitudinal clinical and imaging data, enabling us to uncover genetic drivers of disease progression, advance novel therapeutics, and define patient stratification strategies that improve clinical success.
 
 
 Our interdisciplinary team spans human genetics, clinical science, data science and engineering, and drug discovery and development. We are advancing two programs for Dry Age-related Macular Degeneration (AMD) into the clinic, with additional discovery-stage programs underway.
 
 
 Founded in 2018, Character has raised capital from leading investors at the intersection of healthcare and technology, including an oversubscribed $110+ million Series B in 2025 co-led by aMoon and Luma Group, with participation from Bausch + Lomb, Innovation Endeavors, Sanofi Ventures, Catalio Capital Management, S32, KdT Ventures, and Jefferson Life Sciences. We also maintain a multi-target drug discovery collaboration with Bausch + Lomb to develop
 
 
 innovative precision medicines for AMD.
 
 
 
 
 Role
 
 
 : Genomic Data Scientist
 
 
 
 
 Reports to:
 
 
 Human Genetics Lead
 
 
 
 
 Department:
 
 
 Data &amp; Analytics
 
 
 
 
 Level:
 
 
 Scientist I/II
 
 
 
 
 Location
 
 
 : Brisbane, CA or Jersey City, NJ
 
 
 
 The Opportunity
 
 
 
 As a member within our Data Science &amp; Analytics team, you will serve as the primary architect of inquiry, interrogating complex multimodal genomic and biomedical datasets to frame the "killer questions" that drive both therapeutic breakthroughs and business value. Reporting to the Human Genetics Lead, you will lead high-impact initiatives that transform high-dimensional patient data into novel scientific insights and actionable discovery strategies. You will provide executive-level input to our genetics and bioinformatics roadmap while orchestrating cross-functional collaboration between clinical, engineering, and drug discovery teams to ensure our data-driven hypotheses translate directly into clinical reality and competitive advantage.
 
 
 This role is hybrid and can be based in either South San Francisco or Jersey City.
 
 
 
 
 
 This is a preferred hybrid role based at our Jersey City, NJ or Brisbane, CA office.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Advanced Target Discovery &amp; Validation: Accelerate the therapeutic pipeline by integrating cutting-edge analytical frameworks tailored to our unique patient cohorts. You will lead the expansion of in silico target validation tools, empowering bench scientists to make high-confidence, data-driven decisions on target prioritization.
 </li>
 <li>
 Novel Insight Generation: Architect and execute creative analytical strategies to "excavate" deep biological insights from our proprietary data platform. You will move beyond single-variant analysis to uncover higher-level downstream signals, such as gene-set enrichment and pathway-level interactions, that drive business and scientific value.
 </li>
 <li>
 Multimodal Ecosystem Architecture: Implement and support a sophisticated scientific computing environment that seamlessly bridges genomic, clinical, and imaging data. Your goal is to create a unified, "frictionless" data experience that integrates complex pipelines into a cohesive discovery engine.
 </li>
 <li>
 User-Centric Scientific Reporting: Develop and deploy intuitive, user-friendly reporting platforms that translate high-dimensional data into accessible insights, ensuring that complex multimodal findings are interpretable and actionable for stakeholders across the organization.
 
 
 </li>
 </ul>
 
 Skills And Qualifications
 
 
 
 <ul>
 <li>
 Education: Ph.D. in Statistical Genetics, Computational Biology, Bioinformatics, or a related quantitative field with a deep focus on human disease genetics/genomics.
 </li>
 <li>
 Industry Experience: 0&ndash;2 years of post-PhD industry experience in genomic data analysis.
 </li>
 <li>
 Biological Synthesis: Hands-on expertise in gene-set and pathway analysis, with a proven ability to "connect the dots" across genomic datasets.
 </li>
 <li>
 Multimodal Integration: A track record of integrating disparate data streams&mdash;including WGS/WES, single-cell RNA-seq, proteomics, and EHR data&mdash;to construct holistic biological models.
 </li>
 <li>
 Strategic Problem-Solving: Demonstrated ability to deconstruct ambiguous business or scientific challenges into structured, testable hypotheses.
 </li>
 <li>
 Collaborative Leadership: Exceptional communication skills and a "founder&rsquo;s mindset," with the ability to translate "deep-tech" findings into actionable "so-what" insights for executive and clinical leadership.
 </li>
 <li>
 Scientific Excellence: A strong record of innovation evidenced by high-impact peer-reviewed publications or patents.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Therapeutic Expertise: Specialized knowledge or experience in Ophthalmology.
 </li>
 <li>
 Data Versatility: Direct experience working with Real-World Data (RWD) and large-scale proprietary Genomic datasets.
 </li>
 <li>
 Machine Learning Proficiency: Practical experience applying advanced frameworks (e.g., Graph Neural Networks, Transformer architectures) to biological sequences or longitudinal clinical data.
 
 
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 
 
 The annual pay range for this full-time position is $130,000-$175,000 + equity + benefits
 
 
 This salary range represents the expected base compensation for this role and may vary based on factors including experience, skills, and level.
 
 
 Benefits include a competitive salary, strong equity incentives, medical, dental, vision, 401(k), an accrued paid time off policy. Character is committed to recruiting, developing, and supporting colleagues from all backgrounds. We embrace diversity, equity, and inclusion as an integral part of our culture.
 
 
 
 
 EEO Statement
 
 
 
 
 Character Biosciences is an equal opportunity employer and is committed to building a diverse and inclusive workforce. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.
 
 
 
 
 Work Authorization
 
 
 
 
 Applicants must be authorized to work in the United States.
</div>

Genomic Data Scientist

<div>Jersey City, New Jersey 07030 Posted March 12th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Role: Python Engineer &ndash; Agentic AI &amp; MCP Orchestration</div><div>
Location: Jersey City, NJ/ Pennington, NJ</div><div>
FTE only</div><div></div><div> 
Job Description</div><div>
Must Have Technical/Functional Skills</div><div></div><div> 
Technical Skills</div><ul><li>Strong hands-on experience in Python for building production-grade applications.</li><li>Experience developing agentic AI applications (multi-agent workflows, tool-using agents, autonomous task execution).</li><li>Expertise with AI orchestration frameworks (agents, tools, planners, workflow controllers).</li><li>Practical experience setting up and configuring Model Context Protocol (MCP) servers.</li><li>Ability to implement and integrate MCP Clients with external systems and AI models.</li><li>Proficiency working with LLMs, prompt engineering patterns, and structured output handling.</li><li>Experience with API integration, event-driven interactions, and tool/skill registration for agents.</li><li>Strong understanding of asynchronous Python (asyncio, concurrency patterns).</li><li>Familiarity with vector stores, embeddings, RAG pipelines, and memory architectures (nice to have).</li><li>Experience working with CI/CD, Git, testing frameworks (pytest), and secure coding practices.</li></ul><div></div><div> 
Functional Skills</div><ul><li>Ability to translate business problems into agent-driven automation workflows.</li><li>Strong debugging and troubleshooting of distributed agent behavior and orchestration flows.</li><li>Familiarity with governance, model safety constraints, and responsible AI usage patterns.</li><li>Strong documentation habits for API schemas, MCP interface definitions, and agent lifecycle behavior.</li><li>Effective communication with architects, product teams, and business stakeholders.</li><li>Comfort working in Agile environments with rapid experimentation and iteration.</li></ul><div></div><div> 
Roles Responsibilities</div><div>
Design and develop Python-based agentic applications capable of orchestrating autonomous and semi-autonomous workflows.</div><ul><li>Build, configure, and maintain MCP servers to expose tools, data sources, or domain capabilities to LLM agents.</li><li>Implement and configure MCP clients to interact with multiple MCP tools, AI models, and external systems.</li><li>Develop orchestration logic to coordinate multi-agent behaviors, tool execution, validations, and decision routing.</li><li>Integrate LLMs with internal systems using structured prompts, tool definitions, and safe execution patterns.</li><li>Optimize agent workflows for reliability, performance, security, and cost.</li><li>Create reusable frameworks for agent tools, context handling, memory, and reasoning cycles.</li><li>Collaborate with architecture, platform, and product teams to align on engineering best practices.</li><li>Implement observability: logging, tracing, and monitoring of agent reasoning steps and tool calls.</li><li>Document MCP schemas, agent behaviors, tool interfaces, and operability guidelines.</li></ul>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER SRE ENGINEER (SITE RELIABILITY/RESILIENCY)</div>

Python Engineer / Agentic AI & MCP Orchestration-6

<div>At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here. 
 
For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy. 
 
NTT DATA Services currently seeks a Program/Project Manager - Leadership/Governance to join our team in Jersey City, New Jersey. 
 
The Program / Project Manager - AI DX will provide end-to-end leadership for Client's AI DX Accelerator initiatives, overseeing delivery across multiple AI workstreams including GenAI platforms, agentic solutions, and enterprise AI enablement. This role owns governance, execution rigor, stakeholder alignment, and value realization in a highly regulated financial services environment. 
 
This is not a traditional IT PM role-it requires experience managing AI programs spanning data, platforms, risk, compliance, and business adoption. 
 
Key Responsibilities 
<ul><li>Own program-level planning and execution across multiple AI initiatives (platform build, use case delivery, pilots production)</li><li>Establish and run AI program governance, including cadence, reporting, escalation, and decision forums</li><li>Manage budgets, capacity planning, vendor coordination, and delivery dependencies</li><li>Partner with AI Architects, Technical PMs, and Business stakeholders to align technical delivery with business outcomes</li><li>Track AI value realization metrics (efficiency gains, risk reduction, adoption)</li><li>Drive executive communications, including steering committee updates and regulatory-aware status reporting</li><li>Ensure delivery aligns with CLIENT risk, security, compliance, and model governance standards</li><li>Support onboarding and ramp-up of AI DX team members</li></ul> 
Minimum Skills Required: Required Qualifications 
<ul><li>8+ years managing enterprise technology programs, including multi-team delivery</li><li>Proven experience leading AI, data, or advanced analytics programs</li><li>Strong understanding of AI delivery lifecycles, from experimentation to production</li><li>Experience operating in financial services or regulated environments</li><li>Excellent executive communication and stakeholder management skills</li><li>Familiarity with Agile, hybrid, or scaled delivery models (SAFe preferred)</li></ul> 
What Differentiates Strong Candidates 
<ul><li>Experience launching or scaling an AI Center of Excellence</li><li>Prior ownership of GenAI or agentic AI initiatives</li><li>Ability to translate AI innovation into measurable business value</li></ul> 
About NTT DATA Services: 
 
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more. 
 
NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team. 
 
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($x - x/hourly ). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. 
 
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&amp;D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.</div>

Program/Project Manager - Leadership/Governance

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