Jobs in the United States

25+ jobs

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Added 4 mins ago
Director, Business Intelligence
Topgolf Payroll Services
United States
…governed and published. Leverage MCP-connected data sources and LLM-enabled…
Added 5 mins ago
W
AI Intern (Summer 2027)
Werner
Appleton, WI
- Up to $19 USD / hour
Basic understanding of LLM Principles, prompt engineering, and experience using LLM applications (ChatGPT, Copilot)
Added 9 mins ago
Software Development Engineer II, Localization
Remitly, Inc.
United States
…scalability and maintainability in shared i18n frameworks, AI/LLM-powered translation tools, and integration into localization…
Added 10 mins ago
Agentic Developer
Insight Global
Westlake, TX
We are seeking an Agentic Developer to join a specialized "Modernization Strike Team" focused on rewriting how enterprise software is built, tested, and operated using AI. Your mission is…
Added 10 mins ago
Lead AI Automation Engineer
Humana
Dallas, TX
…automation solutions, with demonstrated recent experience building LLM-enabled or agentic…
Added 11 mins ago
REMOTE AI/ML Engineer II
Insight Global
Austin, TX
Added 11 mins ago
Software Test Engineer
WCG Clinical
Austin, TX
…AI-assisted test case generation, self-healing automation, LLM-based output evaluation) in accordance with established validation and compliance…
Added 13 mins ago
AI Research Engineer, Multiomics and Imaging
Vanderbilt University
Nashville, TN
Build agentic, LLM-based pipelines that automate ingestion, quality control, processing, and analysis of multi-omics (genomics, transcriptomics, proteomics) and imaging (light-sheet,…
Added 16 mins ago
Principal AI Architect
Innovation Associates, Inc.
United States
Hands-on experience designing and shipping LLM-based or agentic systems to production, including tool/function calling, MCP or equivalent tool-integration protocols, evaluation,…
Added 20 mins ago
PD
Senior AI Engineer (Agentic Systems)
Pantheon Data
Reston, VA
- $120,000 to $220,000 USD / year
…and models, combining deterministic rules, classifiers, and LLM-based routing where each is appropriate; measure routing accuracy and cost, and make routing decisions observable and…
Added 21 mins ago
Senior Manager - Product Partnerships
GoDaddy
United States
…they come to life with partners. Think MCP integrations with LLM platforms and agent ecosystems, and deep integrations with payment processors - partnerships where the product experience…
Added 22 mins ago
SA
Engineering Manager
Slang AI
New York, NY
- $190,000 to $211,000 USD / year
Added 24 mins ago
Software Engineer, Back-End - Mail (LatAm)
Superhuman
San Francisco, CA
- Comfort working with AI-powered systems - whether that's building infrastructure for LLM-based features, managing agentic workflows, or integrating with ML pipelines. Prior experience…
Added 26 mins ago
Technical Product Manager, Legal AI and Platforms
ServiceNow
Remote, United States
Experience shipping generative or agentic AI features, including LLM behavior, retrieval, and prompt design
Added 26 mins ago
Staff Machine Learning Engineer_Voice AI
ServiceNow
San Diego, CA
4+ years building LLM-based applications (integrating models, not training)
Added 26 mins ago
Senior Staff Machine Learning Engineer_Voice AI
ServiceNow
Santa Clara, CA
4+ years building LLM-based applications (integrating models, not training)
Added 26 mins ago
Senior Staff AI-Native DevOps Engineer
ServiceNow
San Diego, CA
…infrastructure as code with a practical understanding of how ML and LLM-based services behave in production, and a bias toward pragmatic engineering with measurable impact on deployment…
Added 26 mins ago
Staff AI-Native DevOps Engineer
ServiceNow
San Diego, CA
…infrastructure as code with a practical understanding of how ML and LLM-based services behave in production, and a bias toward pragmatic engineering with measurable impact on deployment…
Added 26 mins ago
Senior Staff Machine Learning Engineer_Voice AI
ServiceNow
San Diego, CA
4+ years building LLM-based applications (integrating models, not training)
Added 33 mins ago
Senior AI Engineer
Infosys
United States
AI engineer to design and build production-grade LLM-powered applications and agentic systems. This role owns the end-to-end development of intelligent solutions from architecture to…
Added 39 mins ago
RC
Solutions Architect
Redhorse Corporation
Remote, United States
- $120,000 to $135,000 USD / year
Familiarity with AI/ML integration concepts (e.g., retrieval-augmented generation [RAG], LLM APIs, MLOps workflows).
Added 39 mins ago
AI Data Engineering Manager - GPSC Insights Engineering
General Motors LLC
Austin, TX
Added 40 mins ago
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Senior Security AI Engineer
EchoStar
Littleton, CO
- $127,050 to $181,500 USD / year
Comprehensive knowledge of artificial intelligence security and risk frameworks, including NIST AI RMF, OWASP LLM Top 10, and MITRE ATLAS
Added 53 mins ago
TT
Founding AI Agent Engineer
True Talent Solutions Partners
San Francisco Bay Area, CA
- $150,000 to $220,000 USD / year
- Strong software engineering fundamentals, ideally with a full-stack background and applied LLM experience.
Added 59 mins ago
Senior Growth Operations Manager
Chainguard
Remote, United States
Set the AI standard. Build agents and LLM-driven workflows for research, enrichment, and orchestration. Evaluate new tools and set how the team adopts them.

General Datatech, LP

Practice Director, Data Architecture

Remote, United States

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Job details

Posting language: English
Posted: Nov 2, 2026

Original job description

Join GDT and be part of a dynamic team where innovation meets excellence! At GDT, our employees are the cornerstone of our success. GDT offers a people-first culture focused on inclusivity, growth, and innovation. Employees have access to career development opportunities, cutting-edge technology, and a collaborative environment. Employees are empowered to make a meaningful impact and are recognized for their contributions. As a global IT services company, we prioritize attracting, empowering, and retaining top-tier talent dedicated to delivering exceptional results.

Job Summary The Practice Director, Data Architecture partners with GDT clients to design and govern enterprise data frameworks, pipelines, and cloud storage systems optimized to feed and support artificial intelligence (AI), machine learning (ML), and large language model (LLM) workloads. The role translates business objectives into secure, scalable, and cost-effective data architectures that support trusted AI outcomes. This client-facing role works across data science, data engineering, software development, security, infrastructure, and business teams to guide strategy and delivery. This role also helps build GDT’s Data Practice by developing reusable methods, reference architectures, delivery standards, and solution capabilities.

Key Responsibilities

· Lead discovery, assessment, and architecture engagements to define the data foundation for client AI, ML, and LLM initiatives. · Build and oversee scalable ingestion, storage, and processing pipelines using ETL/ELT patterns for large volumes of structured and unstructured data. · Design data flows for training, fine-tuning, retrieval-augmented generation (RAG), batch scoring, real-time inference, and downstream applications. · Define architecture standards for cloud and hybrid environments across AWS, Azure, and Google Cloud Platform. · Design data lakes, lakehouses, warehouses, vector databases, feature stores, and supporting platform services based on client needs. · Recommend modular, portable technology patterns that support interoperability, avoid unnecessary vendor lock-in, and scale with evolving workloads. · Translate business goals and operating constraints into architecture decisions, roadmaps, implementation plans, and measurable outcomes. · Review and validate solution designs for scalability, operability, portability, security, performance, and cost effectiveness. · Create architecture artifacts, reference designs, standards, decision records, and implementation guidance for delivery teams. · Support presales, scoping, estimates, statements of work, implementation guidance, operational readiness, and knowledge transfer. · Help build and mature the Data Practice through reusable delivery assets, methods, accelerators, and technical standards. · Contribute to practice enablement, mentoring, partner alignment, thought leadership, and go-to-market capabilities. Knowledge, Skills, and Abilities · Ability to work with clients and account teams to understand functional and non-functional requirements and collaborate across teams to architect, design, validate, and deliver solutions.

Strong understanding and practical experience with:

· Cloud data and AI services on one or more major platforms: AWS (including Redshift and SageMaker), Microsoft Azure (including Azure ML), or Google Cloud (including Vertex AI). · Advanced SQL, data modeling, database design, performance, and database security. · Python, Apache Spark, Kafka or comparable streaming technologies, and distributed data processing. · MLOps tools and practices, including MLflow, Kubeflow, model lifecycle management, CI/CD, and observability. · RAG pipelines, embedding generation, vector search, model fine-tuning, evaluation, and inference architectures. · Data lakes/lakehouses, data warehouses, vector databases, feature stores, and cloud storage patterns. · Data governance, quality, lineage, privacy, security, compliance, and access control. · Experience publishing architecture strategies, standards, and guidelines that support consistent, repeatable designs. · Mastery in requirements gathering and analysis, with the ability to translate business needs into technical architectures and roadmaps. · Excellent communication, presentation, facilitation, and stakeholder-management skills, including the ability to explain complex technical concepts to diverse audiences. · Self-starter able to operate with a high degree of latitude, handle complex issues, and drive outcomes across multiple stakeholders.

Experience · Minimum 7+ years of experience in data architecture, data engineering, cloud architecture, analytics platforms, or a related discipline, including enterprise-scale solution design. · Demonstrated experience designing and governing data platforms and pipelines that support AI/ML workloads in production environments. · Experience working directly with clients and account teams to understand business outcomes, define requirements, and translate them into secure, scalable data architectures and delivery plans.

Demonstrated background in:

· Enterprise data architecture and modeling, including conceptual, logical, and physical data models. · Cloud data platforms across AWS, Microsoft Azure, and/or Google Cloud Platform. · Scalable ingestion and processing patterns for structured and unstructured data, including ETL/ELT, batch, and streaming architectures. · AI/ML data foundations, including feature stores, vector databases, RAG pipelines, embeddings, model fine-tuning, and inference architectures. · Data governance, lineage, quality, security, privacy, compliance, and observability. · Client-facing consulting, architecture reviews, roadmap planning, and cross-functional delivery leadership.

Education · Bachelor’s degree in Computer Science, Data Science, Information Systems, Information Technology, Engineering, or a related field; equivalent experience will be considered.

Certifications

Preferred (nice to have):

· AWS Certified Solutions Architect, AWS Certified Machine Learning, or comparable AWS certification. · Microsoft Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate, or comparable Azure certification. · Google Professional Cloud Architect, Professional Machine Learning Engineer, or comparable Google Cloud certification. · Relevant Databricks, Snowflake, Kubernetes, data governance, security, or MLOps certifications.

GDT IS AN EQUAL OPPORTUNITY EMPLOYER. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sex, marital status, gender identity or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.

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