Job Specifications
Contract 3+ Month, possible extension
Washington DC – 4 days onsite
2. SCOPE OF WORK
The scope of work includes to design, build, and govern scalable, secure, and cost-effective AI solutions across the enterprise. This role bridges the gap between complex AI research and practical software engineering, orchestrating everything from traditional predictive models to advanced Generative AI and Retrieval-Augmented
Generation (RAG) systems.
3. SKILLS / EXPERIENCE REQUIRED
Senior AI Architect should have the following skills sets/experience.
• Experience Level: 8–10+ years in software engineering or data architecture, with at least 4+ years specifically dedicated to AI/ML systems design and deployment in production environments.
• Cost Management: Proven ability to manage and optimize the computing costs associated with running heavy AI workloads (e.g., token optimization, GPU allocation).
• Communication & Leadership: Exceptional ability to translate complex AI capabilities and limitations to C-suite executives and non-technical stakeholders.
• Database Knowledge: Familiarity with SQL and data warehousing concepts (e.g., Snowflake, BigQuery) for data pipeline orchestration.
Essential Job Functions & Required Skills:
• Enterprise AI Strategy: Lead the transition of AI projects from localized Proof of Concepts (PoCs) to scalable, enterprise-wide production systems.
• Technology Selection: Evaluate and select the appropriate AI technologies (e.g., Deep Learning, Natural Language Processing, Computer Vision, Generative AI) based on business requirements, cost, latency, and data privacy constraints.
• Architecture Design: Architect end-to-end AI pipelines, including data ingestion, model training/fine-tuning, deployment, and monitoring.
• MLOps & Infrastructure: Design and implement robust MLOps practices for continuous integration, continuous deployment (CI/CD), and continuous training (CT) of AI models to prevent model drift and degradation.
• Data & Integration: Work closely with data engineers to design the data architecture required for advanced AI, including vector databases and complex RAG workflows.
• AI Governance & Ethics: Establish guardrails for AI usage, ensuring models are fair, transparent, secure against adversarial attacks, and compliant with data privacy regulations (e.g., GDPR, CCPA).
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Regards
Mohd Rehan
mrehan@ustechsolutionsinc.com
Internal ID:#: 26-06212
About the Company
USTECH SOLUTIONS is the largest privately owned diversity workforce partner with a global footprint. For 20+ years, we have partnered with leading MSPs and some of the world's largest enterprises to deliver a flexible workforce. We serve Fortune 500 giants and growing businesses alike, reinventing the role of humans in a digital workforce.
'Reinventing Human' is about connecting you with top talent and seamlessly integrating new hires into your programs through our next gen AI powered Talent platforms. As the largest privat...
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