• Act as the primary, trusted face of CompassX to senior client stakeholders - building the kind of credibility that gets you invited into the room before a problem is even fully defined • Lead executive-level conversations that turn ambiguous business challenges into a clear, actionable solution direction • Build consensus across stakeholder groups with competing priorities, and know how to navigate organizational dynamics without losing momentum • Own the design of the solution itself - not just the plan to deliver it. Shape the approach, validate it technically, and defend it under scrutiny • Partner closely with architects, engineers, and data/AI practitioners to ensure the technical approach holds up, while remaining the accountable owner of the overall solution • Drive process improvement and 'ways of working' recommendations as part of the solution, not as an afterthought • Evaluate the feasibility of data and AI use cases, and speak credibly to data pipelines, model approaches, and modern architecture • Bring a point of view on where AI genuinely adds value to a solution - and where it doesn't • Use AI as part of your own working style (research, synthesis, solutioning), modeling the kind of modern practice CompassX brings to clients • Bring enough fluency in delivery fundamentals - Agile, UAT, data validation - to keep a workstream credible, with support from delivery specialists as needed • This is not a scrum-master or backlog-management role; delivery mechanics are a 'nice to have,' not the job

Role Description We are looking for an experienced Molecular Biology Specialist to support a project focused on improving how advanced AI systems understand and reason about life science topics. - Review scientific data, experimental protocols, and AI-generated content. - Develop clear explanations, realistic scenarios, and expert feedback. - Strong knowledge of molecular biology methods, experimental design, and scientific interpretation. - Previous AI experience is not required. CONTRACT: Contractor COMMITMENT: Hourly/Part-time LOCATION: Remote PROCESS: Application Form -> AI Interview -> Selection HOURLY RATE: $50 - $80/h Qualifications - PhD, MS, or equivalent Degree in Molecular Biology, Biochemistry, Genetics, or a related life science field. - Experience in molecular biology research, experimental design, or data interpretation. - Strong knowledge of techniques such as PCR, sequencing, CRISPR, or protein analysis. - Experience writing, reviewing, or evaluating scientific content. - Ability to provide clear, accurate, and evidence-based written feedback. Requirements - Review molecular biology data, protocols, and scientific literature. - Evaluate AI-generated content for scientific accuracy and clarity. - Create explanations, annotations, and reference materials. - Develop realistic questions, scenarios, and datasets. - Identify factual errors, inconsistencies, and unsupported conclusions. - Provide structured feedback to improve AI response quality. - Apply current molecular biology methods and research standards. - Contribute insights on emerging techniques and applications.

• Define and evolve Quisitive's AI strategy, service offerings, solution portfolio, and go-to-market approach. • Establish Quisitive as a premier Microsoft AI consulting partner through thought leadership, innovation, and technical excellence. • Ownership of the roadmap for AI advisory services, AI modernization, intelligent applications, AI agents, and enterprise AI transformation. • Represent Quisitive with Microsoft, strategic partners, analyst firms, and executive customer communities. • Define the enterprise architecture strategy for Microsoft AI solutions across Azure AI, Microsoft 365 Copilot, Copilot Studio, Microsoft Fabric, Azure OpenAI, Azure AI Foundry, Power Platform, Dynamics 365, Microsoft Graph, and related technologies. • Establish technical standards, architectural patterns, reference implementations, reusable components, accelerators, governance models, and best practices. • Partner with Delivery leadership to define engineering methodologies, implementation approaches, DevSecOps standards, AI lifecycle management, and solution quality expectations. • Guide technical decisions around agentic AI architectures, retrieval-augmented generation (RAG), semantic search, vector databases, orchestration frameworks, prompt engineering, AI observability, model evaluation, responsible AI, and AI governance. • Ensure Quisitive's AI capabilities remain aligned with Microsoft's technology roadmap and emerging innovations. • Partner closely with Delivery leadership to mature Quisitive's AI delivery capability. • Develop technical enablement programs, engineering playbooks, implementation frameworks, and reusable delivery assets. • Define technical certification priorities and capability development plans across consulting, architecture, engineering, and data teams. • Guide the establishment and evolution of AI Centers of Excellence and technical communities of practice. • Provide executive oversight into complex AI solution architectures and strategic client implementations. • Lead executive conversations around AI strategy, transformation, governance, modernization, and business value realization. • Facilitate executive workshops, AI strategy engagements, innovation sessions, design thinking workshops, and roadmap development. • Translate business objectives into scalable Microsoft AI solutions and implementation strategies. • Serve as executive sponsor for strategic AI engagements and transformation programs. • Support strategic pursuits, proposals, executive presentations, and large AI opportunities. • Partner with Sales and Solution Architects to shape differentiated Microsoft AI solutions. • Develop repeatable offerings that accelerate sales cycles and improve delivery consistency. • Build trusted relationships with Microsoft field teams and strategic alliance partners. • Quisitive is recognized as a trusted Microsoft AI advisory and implementation partner. • AI strategy engagements consistently convert into successful implementation programs. • Delivery teams leverage standardized architecture, reusable assets, and proven implementation methodologies. • Microsoft identifies Quisitive as a strategic AI partner with deep technical capability. • AI practitioners continually improve certifications, technical depth, and delivery quality. • AI offerings evolve rapidly with Microsoft's platform innovations while maintaining delivery consistency and governance. • Customers achieve measurable business outcomes through secure, scalable, and production-ready AI solutions.

• Design and implement advanced SEO and GEO strategies for large clients • Optimize brands' presence in Google Search • Define strategies aimed at maximizing citability and authority • Analyze search behavior in traditional and AI-driven environments • Design information architectures focused on Entity-first SEO • Develop Knowledge Graph Optimization strategies • Improve digital authority through Digital PR strategies • Define multimodal content strategies (text, image, video) • Lead national and international SEO projects