• Architecting and designing bespoke integration architectures using API sequence diagrams and data-flow maps. • Leading technical deep-dives with prospect CTOs and lead developers to uncover complex system requirements. • Providing definitive proof of technical feasibility, removing integration-related friction from the sales cycle. • Acting as a strategic partner to Presale Solutions Consultants and Postsale Solutions Engineers. • Translating goals into actionable technical specifications and providing the exact JSON schemas, endpoint mappings, and logic flows required for developer execution. • Leading technical discussions with partners to ensure integration roadmaps remain aligned. • Proactively creating technical internal resources tools.

• Design, develop, and maintain integrations between Arvo and ERPs/healthcare providers' systems • Work with REST APIs, webhooks, authentication, queues, and asynchronous interactions • Build alternative solutions when APIs are not available (e.g., RPA, automations, file ingestion, controlled scraping) • Work directly with technical and non-technical clients, understanding processes and translating needs into solutions • Map healthcare data flows (medical invoices, claim forms, billing, authorizations, etc.) • Implement and maintain automated tests for integrations (unit, integration, and end-to-end) • Monitor integrations in production, perform troubleshooting, and drive continuous improvements • Document integrations, data flows, and API contracts • Collaborate closely with engineering, product, and customer teams

Who We Are Welcome to TELUS Digital - where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture. With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Enterprise Technology, Enterprise Applications, Cloud Engineering, and QA & Test Engineering. From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company. Location & Flexibility This role will be in a Work From Near (Hybrid) capacity based in one of the following offices: Boston, MA, Columbus, OH, Charlottesville, VA, or Durham, NC, OR in a Work From Anywhere (Remote) capacity with travel to clients and TELUS Digital Solutions offices expected. The Opportunity As a Senior Manager, Solutions Architecture, you’ll provide architecture leadership in both pre-sale and implementation stages with our client and executive partners. You’ll leverage your software delivery experience and technical expertise to architect, plan, and initiate new projects. While working with a delivery team, you’ll support in-flight projects and implement our client partner’s vision. Senior Managers in Solutions Architecture bring their dynamic capabilities to a variety of scenarios, including speaking with prospective clients about our capabilities, leading architecture and discovery projects for new client initiatives, and collaborating with a delivery team to implement their vision. During downtime, our Solutions Architecture team acts as roving catalysts to support in-flight projects, with L&D time spent growing their technology expertise in a selected specialization (e.g., AWS). Responsibilities - Presale: Lead scoping, technical design, and work planning during the presale process while speaking with prospective clients about our firm's engineering capabilities - Delivery: Play the lead role in technical architecture and discovery projects, using consulting methods to refine the product and technical architecture of client projects - Subject Matter Expertise: Owns a “technology vertical”, encompassing solution design, platform selection, implementation support, and thought leadership (e.g., AWS, Content Management Systems, hybrid mobile frameworks, etc.) - Roving Catalyst: Enhance existing project teams with architectural account-level guidance or specific subject matter expertise Competencies - Multi-platform familiarity, with expertise in one or more of the following: - Front-end: Swift, Kotlin, Maui, React Native, React, Angular, Flutter, Typescript - Backend: APIs (NodeJS, Spring, .NET, Python), Cloud (AWS, Azure, GCP), Data Services/Systems (SQL, NoSQL, Kafka) - Content management systems, analytics platforms, and other 3rd party frameworks - Experience delivering software in an agency/client-service environment - Experience in having commercial conversations involving budgets and fees - Experience with software estimation, work planning, and building project plans within time/cost constraints - Ability to break down complex ideas to both technical and non-technical individuals - You're excited to learn the principles of mobile software development - Experience quickly iterating and refining a product vision with a client by offering multiple approach options - Passion to apply modern processes that transform client organizations (e.g., continuous delivery, rapid iteration, and agile-inspired methodologies) - Excellent verbal and written communication skills - Ability to use repeatable frameworks and best practices to incorporate new technologies or concepts - Appreciation for the wider client enterprise, beyond a single project or initiative - Desire to expand an account to holistically service a client - Equally comfortable working in pre-sale and post-sale environments - An eye for detail and an ability to navigate ambiguity Bonus Points - Experience with leading CCaaS technologies such as Amazon Connect, Zendesk CCaaS, Google CES, Five9, and Genesys CCaaS. - Cloud Data Platforms: Experience with Databricks, Snowflake, or other major cloud data warehousing/lakehouse solutions. - Cloud AI/ML Services: Proficiency with cloud-native AI/ML platforms (e.g., AWS Bedrock / Sagemaker, Azure ML, Google AI Platform/Vertex AI). - Understanding of MLOps principles and tools for continuous integration/continuous delivery (CI/CD) of machine learning models. - Familiarity with containerization (Docker) and orchestration (Kubernetes) for scalable deployments. Equal Opportunity Employer At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity. We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us. For more information on how we use your information, see our Privacy Policy.

It’s More Than a Career, It’s a Mission. Our people are the foundation of our success. By joining our growing team at Sarah Cannon Research Institute (SCRI), a subsidiary of McKesson, you will have the opportunity to become part of one of the largest community-based cancer programs to advance oncology treatments and improve outcomes for cancer patients across the globe. We look for mission-driven candidates who have a desire to advance the fight against cancer and make a difference in the lives of patients diagnosed with cancer every day. Our Mission People who live with cancer – those who work to prevent it, fight it, and survive it – are at the heart of every decision we make. Bringing the most innovative medical minds together with the most passionate caregivers in their communities, we are transforming care and personalizing treatment. Through clinical excellence and cutting-edge research, SCRI is redefining cancer care around the world. The Lead Intelligent Solutions Engineer is a senior, hands‑on technical builder‑leader accountable for delivering AI and intelligent automation solutions end‑to‑end, from problem framing through production deployment and sustained value realization. This role personally designs, builds, and scales LLM‑ and agent‑based automations while owning solution architecture, technical quality, delivery outcomes, and enterprise standards. This position requires deep technical expertise, strong architectural judgment, and the ability to independently drive complex, ambiguous initiatives to completion. The role is not oversight‑only; it is focused on custom AI development, intelligent automation, and solution execution using large language models, agents, orchestration frameworks, and enterprise integrations. In addition, this role is expected to evangelize and engage the business, translating opportunities and problems into tangible, trusted, production‑ready AI solutions that measurably improve productivity, quality, cycle time, and decision‑making across SCRI. Duties include but are not limited to: Hands‑On AI & Intelligent Automation Development (Primary Accountability) - Independently design, build, and maintain: - AI prompts and prompt libraries - LLM based agents and copilots - Chatbots, automation scripts, and end to end intelligent workflows - Lead rapid prototyping and experimentation; convert successful pilots into scalable, production grade solutions - Own the day-to-day technical health of deployed solutions, including monitoring, troubleshooting, performance tuning, and reliability improvements - Build and maintain robust integrations with enterprise platforms using APIs, services, data pipelines, and workflow orchestration tools End‑to‑End Solution Architecture & Delivery Ownership - Serve as the end-to-end AI solution architect for assigned initiatives, making architectural decisions and implementing them hands on - Define and standardize solution patterns for: - Agent architectures (RAG, tool calling, multi agent orchestration) - Integration and data flow design - Environmental promotion and deployment strategies (dev/test/prod) - Own delivery planning with clearly defined value metrics, success criteria, and timelines - Proactively identify technical risks, trade offs, and dependencies and drive resolution Use Case Execution & Enterprise Impact - Lead execution for high‑impact, enterprise‑level AI and automation use cases, particularly complex or manual processes with measurable value potential - Translate loosely defined business problems into durable, production‑ready AI solutions - Typical use cases include, but are not limited to: - LLM‑based agents for case intake, triage, summarization, and decision support - Intelligent document processing across emails, PDFs, forms, and unstructured content - Workflow automation for finance, operations, compliance, research, or shared services - Embedded AI assistants integrated into enterprise systems to reduce manual effort, errors, and cycle time - Partner closely with business owners to validate outputs, refine logic, and ensure solutions are adopted, trusted, and operationalized Governance, Security & Compliance (Lead‑Level Accountability) - Ensure all solutions comply with enterprise AI governance standards, ethical AI principles, and corporate policies - Design and implement secure‑by‑default solutions, including documentation, traceability, monitoring, and audit readiness - Anticipate and mitigate risks related to data privacy, access control, model behavior, hallucinations, bias, and operational resilience - Partner with architecture, security, and data governance teams to ensure compliant solution design, especially within regulated environments Evangelism, Enablement & Technical Leadership - Evangelize AI and intelligent automation capabilities across the organization by: - Engaging business stakeholders - Translating opportunities into concrete solution concepts - Demonstrating value through working solutions - Produce high‑quality technical documentation, user guides, and SOPs - Lead hands‑on enablement sessions, workshops, and knowledge transfer to drive adoption - Act as a technical mentor and thought leader, influencing standards, patterns, and best practices across AI and automation initiatives - Collaborate with business and technology partners to continuously improve AI‑enhanced workflows Mandatory: The following are mandatory expectations of all SCRI employees. - Practices and adheres to the “Code of Conduct” philosophy and “Mission and Value Statement.” - During your employment with SCRI, you will be routinely assigned training requirements. You are expected to complete any training assignments by the due date. Minimum Qualifications: - Bachelor's Degree required, Master's Degree preferred - At least 7 years of experience in machine learning Knowledge: A body of information needed to perform tasks; May be obtained through education, training or experience. - Advanced knowledge of generative AI, machine learning, NLP, agentic frameworks, and AI solution architectures - Strong understanding of AI governance, MLOps, and enterprise risk management - Healthcare, life sciences, or clinical research technology domain knowledge. Skills: The proficiency to perform a certain task. - Proven experience delivering complex, production‑grade AI and automation solutions as a hands‑on builder - Deep proficiency in prompt engineering and applying Generative AI to enterprise workflows - Strong programming skills (typically Python and/or JavaScript) with experience in APIs, data transformation, version control, and deployment practices - Demonstrated experience building agentic AI solutions, including RAG architectures, orchestration frameworks, and tool‑calling patterns - Experience with Microsoft AI ecosystem tools (e.g., Copilot Studio, Power Platform, Azure AI / Azure OpenAI) strongly preferred - Ability to rapidly prototype while maintaining enterprise‑grade security, reliability, and governance - Demonstrated ability to operate as a senior, end‑to‑end AI solution architect while remaining hands‑on - Comfortable owning ambiguous, high‑visibility initiatives with minimal direction - Strong stakeholder influence skills; able to align technical decisions with business outcomes in a matrixed environment - Track record of translating concepts into shipped, adopted, enterprise solutions Abilities: An underlying, enduring trait useful for performing duties. - Ability to operate simultaneously at strategic, architectural, and engineering levels. - Ability to influence change and drive adoption across teams. - Ability to prioritize, execute, and deliver outcomes under evolving requirements. Preferred Qualifications: - Healthcare, life sciences, or clinical research domain experience - Experience delivering solutions in regulated, compliance‑driven environments Interested candidates should submit their application through https://www.scri.com/careers/. Applications will be accepted through April 9, 2026. Please ensure all required materials are included as outlined in the posting. About Sarah Cannon Research Institute Sarah Cannon Research Institute (SCRI) is one of the world’s leading oncology research organizations conducting community-based clinical trials. Focused on advancing therapies for patients over the last three decades, SCRI is a leader in drug development. In 2022, SCRI formed a joint venture with former US Oncology Research to expand clinical trial access across the country. It has conducted more than 750 first-in-human clinical trials since its inception and contributed to pivotal research that has led to the majority of new cancer therapies approved by the FDA today. SCRI’s research network brings together more than 1,300 physicians who are actively enrolling patients into clinical trials at more than 250 locations in 24 states across the U.S. Please click here to learn more about our research offerings. We care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse colleague population and ensure they are the healthiest versions of themselves. For more information regarding benefits through our parent company, McKesson, please click here. As part of Total Rewards, we are proud to offer a competitive compensation package. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: careers.mckesson.com. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.