Role Description TELUS Health is empowering every person to live their healthiest life. As a Client Experience & Technology Solutions Program Specialist, you'll be the quality guardian between our product team and the clients who depend on our platform daily. Your work directly protects the integrity of healthcare workflows and data. You'll be the bridge that helps clients understand new capabilities, troubleshoot issues, and optimize how they use the platform. What You'll Do - Configuration & Requirements Gathering (~40% of your time) - Meet with the Director, Implementation Managers, and Operations team to understand client needs and project requirements. - Configure the TH Case Management platform for new client implementations or contract renewals. - Translate business requirements into system configurations that work in practice. - Collaborate with the Product Support team on configuration-related questions and technical considerations. - Open ADO tickets for all requests requiring Product team support and follow up on ticket status until completion. - Testing & Quality Assurance (~30% of your time) - Conduct thorough system testing in lower environments before any changes move to production. - Validate that configurations meet the original requirements and function correctly across the platform. - Ensure changes don't create unintended side effects for other clients or workflows. - Document testing results and flag any issues for resolution before rollout. - Partner with the Product team on any configuration-related issues identified during QA. - Client Communication & Support (~20% of your time) - Provide timely updates to internal Business teams and external clients on outstanding or in-progress ticket items. - Answer client questions promptly and explain technical solutions in non-technical language. - Help clients understand how new configurations work and how to use them as changes are rolled out. - Manage Help Desk and User Admin tickets in a timely manner and consistently meet SLAs. - Strategic Support & Continuous Improvement (~10% of your time) - Participate in special projects and process improvements as needed. - Identify patterns in client requests and provide feedback to leadership on product enhancements. - Contribute to documentation and knowledge-sharing that helps the team improve efficiency. Qualifications - You MUST Have: - Hands-on experience with TH Case Management platform, OR equivalent experience configuring healthcare platform solutions (minimum 2+ years). - Demonstrated knowledge of software testing practices, including: - Manual testing - Test case documentation - QA workflows - Excellent written and verbal communication skills. - Ability to explain technical concepts in non-technical language. - A patient listener who understands what clients really need. - Ability to manage multiple tickets and priorities simultaneously. - A deep desire for personal and professional learning. Requirements - You'd Be Great If You Also Have: - Experience working in healthcare or with healthcare platforms. - Experience with ADO, Jira, or similar ticketing and project management systems. - Familiarity with other TELUS Health products or the broader product portfolio. - Knowledge of change management principles. - A problem-solving mindset. Benefits - Access to a full range of benefits. - Remote work options. - High-quality well-being support and resources provided to employees. Compensation - Salary Range: $55,000 - $65,000 + 5% Bonus

Role Description As a Solutions Engineer at Cogent Security, you'll be the technical backbone of our post-sales motion - designing and scoping the vulnerability management solutions that get our most complex customers live on Cogent. You're not writing production code, but you're technical enough to speak the same language as a customer's security engineers, translate their environment into a concrete implementation plan, and write the tickets that turn that plan into reality. This role sits within Customer Success, working alongside TAMs who own the relationship and success metrics, while you own the technical design. Over time, we want to reduce how much of this work requires a dedicated Forward Deployed Engineer for every implementation - which means the person in this seat needs deep enough domain expertise in vulnerability management to scope things right the first time. This is a founding role for someone who's comfortable with ambiguity, has done this before at an early-stage company, and has sat across the table from CISOs and enterprise security teams. What You'll Do - Scope & Design Solutions: Work directly with customer security teams to understand their environment and design how their Cogent instance should be built and deployed. - Bridge Technical & Product: Write clear, actionable tickets that hand off your solution design to engineering for build-out. - Own the Technical Relationship: Serve as the technical counterpart to the TAM, speaking the same language as customer security engineers and earning credibility with technical stakeholders up to CISO level. - Deploy at Enterprise Scale: Get customers live on Cogent, working with deployment teams that can span dozens of stakeholders on the customer side. - Scale our Forward Deployed Motion: Build repeatable scoping and design practices that shrink how much forward-deployed engineering is needed per implementation. - Shape What "Good" Looks Like: As an early hire on this team, help define the Solutions Architect function itself as Cogent's post-sales motion scales. Qualifications - 10+ years of professional experience, including 5+ years of deep domain expertise in vulnerability management or a closely adjacent security discipline. - Experience at an early-stage company - you've helped scale and build out processes from scratch, and you're comfortable operating with ambiguity rather than a fully-defined playbook. - A track record with enterprise-scale customers - you've worked with CISO/exec-level stakeholders and large deployment teams (e.g., 30-person implementations). - Management experience, including having hired and built out a team. - Familiarity with APIs - comfortable with API keys, reading/writing data, and validating data in a tool, even though this role doesn't involve writing PRs. - Excellent communication skills - able to translate fluently between customer security teams and internal engineering. Why Cogent Security Cogent Security is redefining how AI can proactively defend organizations against evolving threats. Our mission is to empower security teams with cutting-edge AI agents and clear, actionable insights. You’ll join a world-class GTM team where your work directly impacts the safety of some of the world’s most sophisticated organizations.

• Lead technical discovery calls, demos, and solution scoping with enterprise and health system prospects and customers • Partner with sales teams on proposals and product-fit conversations • Collaborate with product and engineering teams to relay customer insights and shape roadmap priorities • Build sales enablement materials from scratch, including architecture templates and demo guides, operating effectively without existing frameworks • Lead large, high-priority strategic cross-functional projects

Role Description We are seeking an experienced AI Solutions Architect to lead the design and delivery of next-generation AI solutions for pharmaceutical and life sciences organizations. This individual will help clients transform scientific, clinical, and operational data into explainable, trustworthy, and scalable AI solutions that accelerate research and development, improve decision-making, and drive innovation across the drug development lifecycle. As an AI Solutions Architect, you will combine your expertise in foundation models, knowledge graphs, agentic AI, and data architecture with strong consulting and client leadership skills. You will work closely with scientific, business, and technical stakeholders to design and deliver solutions that leverage next-generation AI capabilities and deliver measurable business value. Key Responsibilities - AI Solution Architecture: - Lead the design and delivery of AI solutions across pharmaceutical research and development, translating business and scientific challenges into scalable solutions with measurable outcomes. - Recommend appropriate architectures that align business objectives, data assets, and technology capabilities. - Foundation Models and Agentic AI: - Design and implement solutions using foundation models, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworks. - Define approaches for model selection, orchestration, grounding, prompt design, evaluation, validation, and production deployment. - Knowledge Graphs and Semantic Systems: - Architect biomedical knowledge graphs, ontologies, and semantic data models that support scientific discovery, reasoning, and intelligent information retrieval. - Integrate knowledge graphs with foundation models to improve contextual understanding, explainability, and AI performance. - Data Strategy and Engineering: - Lead data integration, harmonization, and governance efforts across scientific, clinical, and operational data sources. - Establish data foundations that support scalable, trustworthy, and AI-ready solutions. - Client Leadership and Consulting: - Serve as a trusted advisor to business, scientific, and technical stakeholders, leading workshops and solution design sessions. - Communicate complex technical concepts to both executive and technical audiences, guiding clients from strategy through implementation. - Innovation and Capabilities Development: - Stay current on advances in AI, foundation models, and knowledge graphs, bringing emerging capabilities into solutions. - Contribute to reusable methodologies, accelerators, and leading practices that scale AI delivery across engagements. Qualifications - Master's degree or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, Engineering, or a related field. - Significant experience delivering AI, data, analytics, or digital transformation solutions in life sciences or pharmaceutical organizations. - Demonstrated expertise in designing and deploying solutions leveraging foundation models, retrieval-augmented generation (RAG), agentic AI architectures, knowledge graphs, semantic technologies, vector databases, semantic search, machine learning, and predictive analytics. - Experience designing AI solution architectures supported by strong data architecture principles. - Strong programming and solution development experience, particularly in Python and modern AI frameworks. - Experience with cloud platforms such as Azure, AWS, or Google Cloud. - Experience designing and deploying AI solutions in regulated environments. - Ability to translate complex business and scientific questions into structured AI solution designs and implementation plans. - Understanding of pharmaceutical R&D processes, including drug discovery, translational science, clinical development, safety, and regulatory approval. - Excellent communication, presentation, and consulting skills. - Ability to engage effectively with both executive stakeholders and highly technical teams. Preferred Experience - Experience designing and implementing biomedical knowledge graph solutions, including the integration of knowledge graphs with foundation models and agentic AI to support intelligent applications and scientific discovery. - Familiarity with biomedical ontologies, standards, and scientific data management practices, including FAIR data principles and semantic interoperability. - Experience establishing AI evaluation, validation, and governance frameworks, including benchmarking, human-in-the-loop review, and other quality assessment methodologies. - Understanding of the end-to-end pharmaceutical value chain, including R&D, regulatory affairs, market access, medical affairs, commercial operations, and post-marketing functions. - Experience leading client engagements and mentoring multidisciplinary technical teams. Benefits - The potential base pay range for this role, when annualized, is $125,800.00 - $350,300.00. - The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). - Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.