Role Description We are expanding our AI practice by onboarding individuals into a structured professional growth track focused on applied Generative AI capabilities and real-world implementation. - Contribute to guided AI-driven projects across content, automation, and analytics use cases - Develop advanced prompt engineering & prompt optimization techniques - Work with leading Gen AI models (LLMs) and multimodal AI systems - Build AI-powered automation workflows using APIs and no-code/low-code integrations - Apply Retrieval-Augmented Generation (RAG) concepts for knowledge-based solutions - Design AI-assisted chatbots and intelligent assistants - Strengthen data interpretation and AI-assisted decision-making skills - Understand responsible AI practices, model limitations, and ethical deployment This role is best suited for candidates serious about building a long-term career in AI-enabled roles and staying ahead in the rapidly evolving AI ecosystem. Company Description Brilliant Infotech Inc. | MBE Certified e-Verify Employer - 200 Metroplex Dr, Suite 414 - Edison NJ - 08817 - www.brilliantinfotech.com

Role Description As AI CoE Program Lead, you'll report directly to the COO to run and scale our AI Center of Excellence (CoE). This isn't a greenfield build — the foundation is already in place: a live AI CoE Portal, a functioning AI Operating System, six rounds of company hackathons, and a 12-week cross-functional training program already underway. Your job is to take this from "early traction" to "default way of working" — driving adoption, tightening operations, and turning a hardworking group of part-time champions into a durable, scaled program. You'll be the connective tissue between DataOps and IT — who own the underlying infrastructure and data architecture — and the cross-functional CoE members who are driving adoption in their departments on top of their day jobs. You should be deeply fluent in AI yourself — comfortable deploying automations and agents, and genuinely energized by experimenting with new AI tools and techniques — while keeping the whole engine running smoothly, efficiently, and visibly delivering ROI. This is a deliberately hybrid role: equal parts hands-on AI builder and cross-functional program operator. We're looking for someone who can do both, even if not with equal depth on day one — strong AI chops are the harder thing to teach, so that's our primary bar. Qualifications - Deep, Hands-On AI Experience: Demonstrated track record of personally deploying AI automations and agents. - Builder's Curiosity: A habit of experimenting with emerging AI tools and techniques outside of formal projects. - Professional Background: 2-4 years of professional experience, ideally touching Revenue, Sales, IT Operations, or Program/Project Management within a B2B SaaS environment. Requirements - Scale the CoE Operating Model: Take ownership of the day-to-day running of the AI CoE. - Own the AI CoE Portal: Drive continuous improvement of the live Portal. - Run the Training Program: Own development and delivery of ongoing training. - Formalize the Hackathon Cadence: Convert the hackathons-to-date into a repeatable quarterly playbook. - Drive Self-Service Automation: Champion and operationalize the company-wide vision for employee-built automations. - Be the Coaching Backstop: Serve as the go-to point of contact for employee questions and troubleshooting. - Own the Complex & Cross-Functional Builds: Take direct, hands-on ownership of complex builds. - Workflow Automation: Partner with department champions to identify and convert manual work into automated workflows. - AI Governance: Champion governance processes for AI assets. - Hands-On AI Deployment: Personally design, build, and deploy automations and AI agents. - Stay on the Edge: Continuously evaluate and pilot new AI tools, models, and techniques. - Maturity Tracking & Reporting: Maintain and report on our position against the Gartner AI Maturity Scale. - Change Management & Communications: Own internal AI communications. Benefits - Supportive, success-driven environment. - Opportunity to work with cutting-edge AI tools and technologies. - Flexible work arrangements in a 100% remote company. Company Description At DevSavant, we are a trusted technology partner specializing in Software Development, Data Engineering, AI/Machine Learning, Cloud Solutions, Automation Testing, and UI/UX Design. We deliver innovative, high-quality solutions with a focus on excellence and results. Our people are at the heart of everything we do, fostering a culture of growth and well-being.

Role Description This is a remote position. Remote (UK-Based) | Part-Time | 12-Month Renewable Contract Are you passionate about helping AI professionals build successful careers? At Utiva, we're looking for an experienced AI Career Coach to join our London AI Fellowship—a workforce acceleration programme that prepares AI professionals for employment with UK and international employers. If you've successfully coached, recruited, or placed technology professionals into employment and understand what employers look for, we'd love to hear from you. What You'll Do - Coach AI fellows through their career transition journey. - Conduct CV, LinkedIn, portfolio, and GitHub reviews. - Deliver behavioural and technical mock interviews with actionable feedback. - Prepare fellows for interviews, workplace expectations, salary negotiations, and employer readiness. - Deliver one-on-one and group coaching sessions. - Partner with our recruitment team to prepare and recommend employer-ready candidates for placement opportunities. Qualifications - 7+ years of experience in Career Coaching, Talent Acquisition, Technical Recruitment, Employability, or Workforce Development. - Experience recruiting, hiring, or coaching professionals into AI, Data, Software Engineering, or other technology roles. - Strong understanding of UK recruitment practices and employer expectations. - Excellent coaching, communication, and facilitation skills. - A results-driven professional with a passion for helping people succeed. Requirements - 7+ years of experience in Career Coaching, Talent Acquisition, Technical Recruitment, Employability, or Workforce Development. - Experience recruiting, hiring, or coaching professionals into AI, Data, Software Engineering, or other technology roles. - Strong understanding of UK recruitment practices and employer expectations. - Excellent coaching, communication, and facilitation skills. - A results-driven professional with a passion for helping people succeed. Benefits - Flexible part-time remote role. - 12-month contract, renewable based on performance. - Competitive compensation. - Opportunity to coach and mentor over 200 AI professionals. - Collaborate with leading recruiters, employers, and industry experts. - Make a measurable impact by helping AI talent secure meaningful global career opportunities.

Role Description We are seeking an Applied AI Engineer (LLM / RAG) for our healthcare research organization. This role is responsible for building AI-powered knowledge systems by structuring unstructured data and enabling accurate retrieval through LLMs. - Build LLM-based knowledge systems - Structure documents/data for retrieval - Implement RAG workflows - Create prompts and output templates - Work with stakeholders to refine outputs - Own work end-to-end Qualifications - Hands-on LLM build experience (OpenAI, Claude, etc.) - RAG or knowledge retrieval experience - Prompt engineering - Prior working experience in a related role within a Healthcare or regulated environment - Experience structuring documents/data - Ability to work independently Requirements - Python or SQL (Nice to Have) - Enterprise AI tools (Perplexity, etc.) Benefits - Medical, dental & vision - 401(k)/Roth - Insurance (Basic/Supplemental Life & AD&D) - Short and long-term disability - Health and Dependent Care Spending Accounts (HAS & DCFSA) - Transportation benefits - Employee Assistance Program - Time off/Leave (PTO, Vacation, or Sick Leave) Company Description This is a Contract position based out of Seattle, WA. The pay range for this position is $65.00 - $80.00/hr. This position is anticipated to close on Jul 10, 2026.