TRUGlobal
Artificial Intelligence Engineer
Skills
5 days ago
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Important information
Contract type:
Freelance / Contract
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
16 October 2026
What they need
Job Title: AI Architect
Client Location : San Francisco, CA
Work Location: Remote
Job Type: Contract
About the Role
We are seeking a hands-on AI Solutions Expert who can bridge cutting-edge AI technologies with real business outcomes. This role is ideal for someone who not only understands the fundamentals of AI/ML but also has practical experience deploying generative AI tools such as Microsoft Copilot, ChatGPT, Gemini, Claude, and other enterprise-ready AI platforms.
You will play a central role in evaluating, piloting, and integrating AI solutions across business functions (productivity, analytics, customer engagement, and automation), while ensuring scalability, security, and measurable business impact.
Key Responsibilities
· AI Strategy & Advisory
o Assess organizational needs and identify where AI tools (Copilot, ChatGPT, Gemini, Claude, etc.) can create tangible value.
o Develop AI adoption roadmaps aligned with enterprise strategy and compliance requirements.
· Implementation & Integration
o Configure and deploy Microsoft Copilot across productivity and business applications.
o Evaluate, test, and integrate other active AI tools in the market for specific business use cases.
o Develop proof-of-value pilots, drive adoption, and scale successful initiatives.
· Solution Design & Delivery
o Build AI-driven workflows (e.g., automation, analytics, customer insights).
o Create data pipelines, prompts, and fine-tuned models where required.
o Collaborate with IT, security, and business stakeholders to ensure responsible AI use.
· Governance & Enablement
o Define responsible AI guardrails, policies, and usage guidelines.
o Train business teams to effectively use AI tools.
o Track adoption, measure ROI, and continuously improve AI solutions.
Required Qualifications
· Strong knowledge of Generative AI and LLMs; understanding of their strengths, limitations, and enterprise applications.
· Hands-on experience with Microsoft Copilot, OpenAI GPT models, Anthropic Claude, Google Gemini, or similar AI tools.
· Ability to design and deliver AI-powered business workflows (automation, productivity, analytics).
· Proficiency in prompt engineering, AI orchestration, and integration with enterprise platforms (e.g., Microsoft 365, Dynamics, CRM, ERP).
· Working knowledge of data governance, security, and compliance in AI usage.
· Excellent communication and stakeholder management skills to translate AI
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