Drug Substance Division (DSD) AI Lead (Remote – EST) We are looking to hire a candidate with the skills sets mentioned and experience for one of our clients within the pharmaceutical Industry. This is a 6+ month contracting role, with potential for extension. This is a Remote role, with a preference for candidates in the EST zone to facilitate coordination with teams across EST, PST, and EU time zones. Role Summary: You are the AI forward-deployed engineer for Drug Substance Division (DSD) operations within Thermo Fisher's Pharma Services Group. Your mission is to identify where AI can materially improve day-to-day work, then build and ship solutions that teams actually use. You deliver hands-on with AWS, Databricks, Dataiku, and OpenAI, and you drive ChatGPT adoption across DSD workflows. You must hold two truths at once: the business needs near-term outcomes, while IT continues building medium/long-term data and AI foundations (for example: MCP server patterns, A2A approaches, reusable agent frameworks, governance and scalable integrations). You create a clear vision that connects immediate wins to scalable, supportable capabilities. Key Responsibilities: - Identify high-leverage DSD use cases: Target opportunities across DS operations (technical knowledge retrieval, investigation support, documentation acceleration, operational insights, exception triage, capacity/coordination decision support). - Build prototypes and deliver MVPs: Create working solutions using AWS/Databricks/Dataiku/OpenAI, integrating operational data and documents into usable workflows. - Data readiness and integration: Assess data availability/quality; define what's needed and influence how to get there (standard sources, access patterns, reusable pipelines). - Roadmap ownership: Produce a DSD capability roadmap with milestones, dependencies, and impact metrics. - Balance quick wins vs foundations: Deliver what helps DSD now while shaping patterns that will scale as the enterprise platform matures (reusable assets, integration standards, evaluation/monitoring, agent orchestration approaches). - Vision and transition plan: Define the DSD AI north star and a staged path from POCs to reusable capabilities to scaled delivery. - Drive ChatGPT adoption: Build prompt libraries, playbooks, and training tied to real DS work; measure usage and outcomes. - Stay current and apply responsibly: Keep pace with AI advances and translate them into practical, controlled, high-impact solutions suitable for DSD environments. Required Skills/Qualifications: - Domain fluency in drug substance operations and how DS work is executed (process understanding, technical documentation, investigations interfaces, performance drivers). - Primary Stack: AWS, Dataiku, Databricks, and OpenAI. - Strong hands-on delivery skills: Python/SQL plus AWS and Databricks and/or Dataiku experience; applied use of OpenAI. - Applied GenAI/LLM experience (RAG, evaluation, guardrails, workflow integration, adoption enablement). - Strong ChatGPT adoption in DSD workflows. - Ability to work independently, drive ambiguity to shipped outcomes, and communicate clearly to senior stakeholders. - Proven ability to balance immediate impact with long-term scalability while platform capabilities evolve. - Practical GxP awareness and experience operating with controlled documents/data access. - Experience working across distributed/global DS operations. Other Job Details: - Job Type: C2C or W2. - Duration: 6 – 12 months with high possibility of extension. - Location: Remote (preferred candidates in the EST zone to facilitate coordination with teams across EST, PST, and EU time zones). - Pay Rate: $70/hr. on C2C. or $62/hr. on W2. - Interviews: Video interviews. - Docs required: ID proof will be required. Location REMOTE, New Jersey (Remote) Employment Type Contractor Minimum Experience Experienced

Role Description You will be the bridge between technical AI capabilities and our core business functions. Your goal is to leverage AI tools to streamline, automate, and scale our Legal, HR, Finance, and Research departments. We are seeking an AI Operations & Automation Architect who can design and implement automation systems that allow our company to operate efficiently at scale. This role requires someone who actively uses AI and automation tools to run business operations, not just someone who uses AI occasionally. Your goal is to help build a fully automated operations infrastructure. Key Responsibilities - Design and deploy workflow automation systems across company operations - Build AI-powered workflows that automate repetitive operational tasks - Integrate APIs across payment platforms, CRM systems, and internal databases - Build AI agents and automation pipelines for research, compliance, and reporting - Implement automated reconciliation and financial reporting systems - Monitor new technologies and continuously improve operational automation - Build dashboards and data pipelines for operational insights - Ensure systems are reliable, secure, and scalable Qualifications - Strong expertise in AI tools and automation platforms - Familiar with tools such as ChatGPT, Claude, Notion AI, Perplexity, Zapier, Airtable, n8n.io, etc. - Background in Law, Accounting, Finance, Economics, Business or irrelevant - Strong written and verbal English communication skills - Demonstrated experience using multiple AI tools across business functions - Ability to independently research, test and implement new AI technologies - Strong analytical and problem-solving skills - Experience applying AI in operational workflows such as legal, HR, finance, research or administration - Highly organised and able to work independently Requirements - Practical experience with several of the following tools and technologies: - Automation Platforms: n8n, Make.com, Zapier, Microsoft Power Automate - AI & LLM Tools: OpenAI API, Claude, Google Gemini, AI agents, RAG systems - Programming & Integration: Python, JavaScript, REST APIs, Webhooks, OAuth authentication, JSON data handling - Databases & Data Pipelines: PostgreSQL, Supabase, data pipeline automation, ETL workflows - Business Systems: Stripe or similar payment platforms, Xero / QuickBooks accounting systems, CRM systems (HubSpot, Odoo, Salesforce, GoHighLevel), support tools (Zendesk, Freshdesk) - Analytics & Reporting: Power BI, Tableau, data dashboards and operational analytics Benefits - Stable full-time job - Work with a global team - Opportunity to relocate to Europe (if you want) - Salary increases based on performance - Equity share in the company (you become part-owner) - Full ownership of your marketing work - Recognition for your results and impact - Long-term career growth

About Tribe AI: At Tribe, we’re on a mission to help enterprises realize the value of AI for their business. Every large enterprise wants to use AI to transform how they operate — but many don’t have the capabilities to do it. That gap is our opportunity. We’re an AI-native services company that helps enterprises build and deploy best-in-class AI products that deliver real business impact. We partner closely with OpenAI and Anthropic, giving us rare visibility into the most advanced models, roadmaps, and GTM strategies in the world. ‍ About the Role We’re looking for a Forward Deployed AI Architect to lead our most mission-critical client engagements. This is not a lab role - you’ll be embedded with enterprise clients, building and deploying AI solutions where the problems are messy, the stakes are high, and the environment is rarely “ideal.” You’ll be the one who makes things work in the real world: taking designs from architects, wrestling them into production, and ensuring they scale reliably under real constraints. If you thrive on chaos, love solving problems end-to-end, and want your code to matter outside of demos, this role is for you. ‍ Key Responsibilities: Client Engagement & Delivery - Work side by side with clients, PMs, and Architects to scope and deploy AI systems that actually solve problems. - Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector DBs, and related tools. - Navigate real-world challenges: data access, authentication, security, networking, and brittle enterprise environments. Solution Implementation - Translate high-level designs into working components that deliver measurable outcomes. - Debug relentlessly - optimize for reliability in production, not just elegance in code. - Write modular, reusable code that balances speed of delivery with long-term maintainability. Collaboration & Enablement - Embed with client engineering teams to accelerate adoption and integration. - Share insights from field implementations to inform reusable components in our platform. - Document decisions with clarity so both clients and internal teams can build on your work. ‍ About You: - 5+ years of engineering experience, with proven work shipping AI/ML systems into production. - Strong Python skills and deep familiarity with modern AI/ML frameworks (LangChain, LlamaIndex, Hugging Face, vector DBs). - Hands-on with cloud deployment, orchestration, CI/CD, and distributed environments (AWS, Azure, GCP). - Ability to debug gnarly real-world issues (auth failures, networking black holes, flaky data pipelines). - Problem-solver who thrives in ambiguity, focused on delivery and reliability over process and ceremony. - Comfortable in client-facing environments - credible with engineers, clear with executives. ‍ Why Join Us: - Impact: Ship AI systems that don’t just demo well but run at scale in Fortune 500 enterprises. - Growth: Stay hands-on with cutting-edge frameworks while developing field-tested instincts. - Variety: Solve problems across industries, from finance to healthcare to defense. - Culture: Work in a team that prizes resilience, creativity, and winning over process. - Trajectory: Build both your technical and consulting muscles in one of the most demanding roles in AI delivery.

About Tribe AI: At Tribe, we’re on a mission to help enterprises realize the value of AI for their business. Every large enterprise wants to use AI to transform how they operate — but many don’t have the capabilities to do it. That gap is our opportunity. We’re an AI-native services company that helps enterprises build and deploy best-in-class AI products that deliver real business impact. We partner closely with OpenAI and Anthropic, giving us rare visibility into the most advanced models, roadmaps, and GTM strategies in the world. About the Role As an experienced Lead AI Engineer on our Platform Team you will be responsible for supporting our project teams with our internal platform/foundation code to accelerate their ability to deliver projects faster and at a higher quality. You will be the bridge between our sales teams, project teams, and our foundational codebase, ensuring that we maintain high margins while delivering excellent work to our clients. Key Responsibilities: Platform Development & Support - Maintain, enhance, and expand our foundational codebase ("Foundry") that serves as reusable building blocks for project teams - Support project teams in effectively utilizing our platform components, helping them achieve 50-70% reuse of existing code - Identify opportunities to incorporate successful project implementations back into the platform for future reuse - Proactively address bugs, performance issues, and feature gaps in the platform Training & Enablement - Reduce barriers to productivity by creating training materials and documentation for platform components - Design and implement onboarding processes to help team members become productive with the codebase quickly - Provide hands-on support through pairing sessions and code reviews with project teams Cross-functional Collaboration - Work closely with sales teams to understand upcoming project requirements and advise on platform capabilities and impact - Collaborate with project teams throughout the delivery lifecycle to understand what's working and what needs improvement About You: - 5+ years of experience building production-level AI solutions - Strong experience designing and implementing reusable systems, modules, and components - Hands-on experience with modern AI/ML technologies, including LLMs, RAG, and agent systems - Experience supporting and mentoring other engineers in technical implementation - Strong communication skills with the ability to explain complex technical concepts to diverse audiences - Experience working in a consulting or services environment with client-deployed solutions - Proven ability to balance technical excellence with practical business outcomes - Experience working with distributed teams across multiple projects Why Join Us: - Strategic Impact: Drive platform development that directly influences company profitability and project quality - Technical Excellence: Build reusable AI components that solve diverse challenges across multiple client engagements - Engineering Leadership: Become a trusted technical advisor helping teams leverage your platform expertise - Cross-Project Exposure: Gain insights from diverse AI implementations that inform platform improvements - Innovation-First Environment: Join a culture where creative problem-solving and continuous improvement are core to our DNA - Professional Growth: Accelerate your career in a high-growth environment balancing hands-on engineering with strategic leadership