June 18, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
This role will assess existing environments, migrate large-scale datasets, convert SQL and database objects, validate data, and optimize performance in the Azure data platform. Responsibilities: Assess existing Netezza environments, including schemas, tables, views, stored procedures, functions, data volumes, workloads, dependencies, and performance characteristics.
This role will work closely with business stakeholders and technical teams to deliver a scalable and user-friendly SharePoint solution. · Design SharePoint structures including sites, libraries, content types, and permissions.
Focused on thinking big and scaling fast, our agile sales team is responsible for end-to-end solutions for a diverse global customer base including retailers, airlines, hotels, tourism agencies, public sector entities, restaurants, consumer goods and telecom companies. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard's security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and.
We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. The AI Architect will work closely with engineering teams and client stakeholders to translate cutting-edge AI capabilities into reliable production systems, while ensuring governance, transparency, and responsible AI practices.
The ideal candidate will drive AI strategy, define scalable architectures, and lead cross-functional teams in delivering cutting-edge AI-powered applications using the Google Cloud ecosystem, modern AI frameworks, and robust MLOps practices. This role requires strong architectural vision, hands-on technical depth, and leadership in building production-grade AI systems leveraging LLMs, SLMs, and multi-agent frameworks.
New Brunswick, New Jersey30+ days ago
Overview:We are seeking an Onshore Senior AI Architect / Data Scientist to design and scale intelligent, multi-modal AI solutions on the Databricks platform, leveraging Generative AI (GenAI) and modern orchestration frameworks. The selected candidate will play a critical role in architecting and expanding next-generation intelligence solutions across multiple use cases under the Global Brand Protection program.
New York City, NY30+ days ago
As an AI Architect, Finance, you will work directly with enterprise customers to design, deploy, and optimize AI agents across the full AP cycle: invoice inbox, PO and invoice coding, three-way matching, approval workflows, invoice processing, disbursements, payments, and wallet management. Design and Build AP AI Agents: Collaborate with customers to understand their AP and P2P workflows and configure agents that handle invoice intake, GL coding, three-way matching, exception routing, and payment approvals.
The ideal candidate combines strong enterprise architecture expertise with hands-on experience in Generative AI, enterprise AI platforms such as ChatGPT Enterprise and Claude, MCP/server-based AI integrations, Azure AI Foundry, cloud technologies, AI governance, and enterprise application integration. This role will partner with business stakeholders, application teams, enterprise architecture, infrastructure, and cybersecurity teams to define scalable AI strategies and deliver intelligent solutions that improve business capabilities, operational efficiency, and decision-making.
Franklin Lakes, NJ23 days ago
ul>The AI Architect for the Client Excellence (CLIENT) Office will be a hands on technical leader responsible for designing, building, and scaling AI enabled solutions that integrate across enterprise data sources to deliver actionable analytics, insights, and decision support. AI Architecture & Solution Design- Design end to end AI architectures that integrate multiple enterprise data sources (structured and unstructured) into scalable, secure AI solutions.
We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.
You will work directly with customer architects, data engineers, and platform owners to design scalable, secure, and performant solutions that integrate D360 into complex enterprise ecosystems-including hyperscalers, data lakes, real-time pipelines, identity systems, and governance frameworks. The Data & AI Technical Architect is a senior, hands-on technical architect responsible for designing, validating, and operationalizing enterprise-grade data and AI architectures centered on Salesforce D360 and the Agentforce platform.
New York City, NY30+ days ago
You may be a good fit if you have: 10+ years of experience in technical, customer-facing roles (Solutions Architect, Forward Deployed Engineer, Customer Engineer, Sales Engineer, or similar), with meaningful exposure to complex, high-stakes deployments 7+ years of engineering or technical leadership experience, preferably building and scaling customer-facing or forward-deployed teams globally Experience working with or inside mission-driven organizations-education, healthcare, scientific research, global development, or nonprofits-and a genuine understanding of the constraints, incentives, and operating realities of these sectors Familiarity with common LLM implementation patterns, including prompt engineering, evaluation frameworks, agent frameworks, and retrieval systems; working knowledge of Python A track record of building teams in ambiguous, fast-moving environments, and comfort wearing multiple hats as the team scales Strong executive presence and the ability to foster deep, trusted relationships with senior partner leadership Excellent communication, collaboration, and coaching abilities, with a love of teaching and helping others succeed The ability to think holistically, identify core principles that translate across scenarios, and make ambiguous problems clear A passion for making powerful technology safe and societally beneficial, and for thinking creatively about risks and benefits beyond existing playbooks Strong candidates may also have: Experience leading globally distributed teams across time zones and regions Background in philanthropy, global health, education technology, or scientific research Experience designing cohort-based or programmatic delivery models that scale technical expertise across many organizations A working understanding of emerging research in agents, evaluations, and AI safety The annual compensation range for this role is listed below. Annual Salary: $315,000-$380,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
New York City, NY30+ days ago
You can access our privacy policy . Design end-to-end AI/ML architectures, including scalable, secure, and production-ready systems using Machine Learning, Deep Learning, and Large Language Models (LLMs).
p>149345BRNew Jersey, New York, North Carolina, TexasUSAInfosys Limited Principal - Business ConsultingITL USA Basking Ridge, NJ, Charlotte, NC, Dallas, TX, New York, NYFinancial services Process|Consulting processes|Technology Consulting process AI Architect - GenAI / Agentic Systems - Financial Services - Infosys Consulting154375193125About Us. With offices in 20 countries and backed by the power of the global Infosys brand, our teams help the C-suite navigate today's digital landscape to win market share and create shareholder value for lasting competitive advantage.
White Plains, NY17 days ago
The candidate acts as a connective hub across architecture disciplines, closely working with the Enterprise Architecture Engineering (EAE) team to coordinate design reviews, enforce architecture principles, and accelerate delivery to ensure solutions are aligned with industry trends, emerging technologies, and partner ecosystems to effectively shape innovation strategies. In addition, the role requires strong leadership in managing technical relationships, coordinating solution briefings, proof-of-concept efforts, and aligning designs with enterprise architecture principles.
li>Deep, hands-on command of the modern AI stack: LLM APIs and fine-tuning, vector databases, RAG architectures, embedding pipelines, prompt engineering, and agent orchestration frameworks (LangChain, AutoGen, or equivalents). Required:
- Bachelor's degree in computer science, engineering, mathematics, statistics or related fields, 10+ years in technology architecture roles, with at least 3-5 years focused on AI/ML architecture in large, complex enterprise environments.
Jersey City, NJ12 days ago
Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. The Enterprise Data & AI Architect will lead the design and evolution of scalable, secure, and governed architectures that support analytics, operational workloads, and AI-driven innovation.
p>Our ambition goes further: o9 is pursuing a neurosymbolic AI architecture-combining the reasoning power of large language models with the formal rigor of symbolic computation and constraint-based planning. Neurosymbolic Aptitude: Deep, hands-on familiarity with both large language models (generative AI, embeddings, vector databases) and traditional, structured, constraint-based symbolic computation.
In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. The position involves shaping a central consumption layer and a curated data product strategy, creating the connective tissue across multiple semantic implementations and business domains to support an enterprise-wide architecture.
Architect and lead delivery of production AI systems: multi-agent orchestration platforms, RAG and GraphRAG knowledge systems, LLM-powered workflows, and enterprise context graph initiatives spanning all Systems of Record. Lead complex, multi-team AI programs end to end - from stakeholder alignment and architectural design through delivery, adoption, and measured business outcomes across concurrent initiatives.
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. " 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.
The architect partners with Sales, Industry Teams, Cloud Architects, and Delivery to shape scalable, secure, and cost effective AWS data and AI architectures that align to client business objectives and TCS's AI.Cloud and AWS partnership strategy. This role provides architectural leadership across data engineering, analytics, machine learning, and generative AI, supporting large scale cloud modernization and AI led transformation programs.
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
The focus will include evaluating AI protection and AI-SPM solutions, deployment and integration with enterprise cloud ecosystem, and enforcing and configuring centralized security policies.| Years of Experience: | 12.00 Years of Experience |
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The AI Security Team is responsible for establishing secure-by-design principles for AI and Agentic AI systems, ensuring appropriate controls, governance, monitoring, and regulatory alignment across platforms such as ChatGPT Enterprise, AWS Bedrock, Databricks, and other enterprise AI services.
New York City, NY30+ days ago
In addition to creating proof-of-concepts to demonstrate best practices and accelerate adoption, you'll play a key role in driving the evolution of the GenAI platform by identifying gaps, proposing enhancements, and collaborating with platform engineering teams to deliver new capabilities. Help product engineering teams design and implement scalable AI solutions that leverage WKs GenAI platform to drive impact in healthcare, legal, tax, and compliance industries.
li>Architect and implement AI‑powered solutions using Snowflake Cortex including Cortex LLM functions, Cortex Search for semantic/vector/RAG capabilities, Cortex Analyst for conversational analytics, Document AI, and integration with external LLMs (e.g., for fine‑tuning, agents, and multimodal data processing). - Lead end‑to‑end data architecture and solution design for Snowflake‑based data platforms including logical/physical data models, ingestion patterns (batch, streaming, Snowpipe), storage layers (raw, curated, consumption/semantic), and consumption patterns for analytics, BI, and AI/ML.
You will own key parts of the AI software stack, drive rapid proof-of-value sprints, and help move AI workloads toward stable production on Dell infrastructure, balancing speed, reliability, security, and responsible AI practices. Within the Forward Deployment Engineering (FDE) Unit, the Advisory AI Architect is a hands-on technical leader who designs and builds AI and GenAI solutions with customers.
Parsippany, NJ30+ days ago
Performance Evaluation & Change Management: Define success metrics for newly implemented AI workflows, monitoring user adoption, mitigating workflow bottlenecks, and ensuring the AI solution actually solves the intended business problem. AI Solution Design: Architect the "future state"of automated workflows, mapping out conceptual AI agent interactions, human-in-the-loop touchpoints, and data flows to guide the engineering team.
This role will define and drive architecture across Dynamics 365 Customer Service, Dynamics 365 Sales, Omnichannel, Copilot Studio, Azure, Power Platform, Microsoft Teams, and Dataverse, supporting enterprise-scale transformation across sales and customer service functions. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
This role, located in Nexstars New York offices, is responsible for guiding design, development and deployment of data architecture to enable efficient and effective AI modeling and agentic development across a large, multi-phase data platform. Design the agent evaluation framework, including synthetic query suites, accuracy validation, and the use of agents to generate and run test variations against domain coverage and answer consistency, establishing the criteria that determine when an agent is production-ready.
Preferred Qualifications: Bachelors Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Masters Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field. Proactively identifies gaps through delivery, communicates those gaps to relevant team members and internal/external stakeholders, and connects gaps and patterns across business and technology areas that drive changes and improvements to products, IP (both existing and new), technologies, and/or processes/practices that enable solutions to scale across customers.