{"id":2878494,"url":"https://alion.io/job/mckesson-forward-deployed-engineering-us-oncology","title":"Forward Deployed Engineering, US Oncology","company":{"id":4393,"name":"McKesson","domain":"mckesson.com","url":"https://alion.io/company/mckesson","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mississauga, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":72000,"max_usd":147000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":39},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"Claude","optional":false},{"name":"Databricks","optional":false},{"name":"Gmail","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Node JS","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"ServiceNow","optional":false},{"name":"Snowflake","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-22T03:19:49Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.\nWhat you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.\nCurrent Need\nThe US Oncology Network is seeking a Lead Forward Deployed Engineer (FDE) to partner directly with business and operational teams to turn complex, high-value problems into validated AI-enabled solutions. This is a hands-on, business-embedded engineering role for someone who can work comfortably in ambiguity, connect business needs with technology, and rapidly move ideas from discovery to working prototypes.\nThe FDE leads the front end of the AI delivery lifecycle. You will understand workflows, frame problems, assess technical options, build and test prototypes, and validate value with users. Once a concept is validated, you will define a clear production path and work with AI Application Engineering, Data Engineering, MLOps, architecture, security, compliance, and operational teams to transition the solution for industrialization and scale.\nThis role requires strong software engineering judgment, broad technical fluency, and exceptional stakeholder engagement. The FDE role provides technical coherence from problem through prototype, preserves the intended business outcome, and ensures downstream teams have the context needed to deliver a scalable, governed solution.\nKey Responsibilities\nEmbed with practice and business teams to understand workflows, user needs, operational constraints, pain points, and desired outcomes.\nLead discovery workshops, workflow assessments, and problem-framing sessions with executives, physicians, clinical teams, revenue cycle leaders, operational teams, and subject matter experts.\nTranslate ambiguous business needs into clear problem statements, testable hypotheses, technical options, prototype scopes, and measurable success criteria.\nAdvise stakeholders where AI, automation, data, or workflow technology is appropriate and clearly communicate capabilities, limitations, risks, and tradeoffs.\nDesign pragmatic solution approaches using approved enterprise technologies, architecture patterns, and available data assets.\nBuild working prototypes, proofs of concept, and thin-slice solutions that test feasibility and enable meaningful feedback from representative users.\nApply sound software engineering practices so prototype code, interfaces, and design decisions can be understood, reused, or extended by delivery teams.\nUse AI-enabled patterns such as retrieval-augmented generation, copilots, agents, semantic search, decision support, and workflow automation when appropriate to the problem.\nDemonstrate prototypes, gather user and technical feedback, iterate rapidly, and recommend whether to stop, refine, or advance the work.\nIdentify application, data, integration, security, architecture, operational, and governance dependencies early in the engagement.\nCollaborate with AI Application Engineers, Data Engineers, MLOps Engineers, architects, product leaders, security, compliance, and business SMEs to shape an executable delivery path.\nDefine solution requirements, dependencies, and acceptance criteria for production delivery.\nAssess production readiness and document risks, decisions, and required controls.\nLead solution handoff to engineering teams and support successful implementation.\nDrive reuse by capturing patterns, assets, and lessons learned across engagements.\nContribute to FDE playbooks, prototype standards, reusable asset libraries, and delivery practices that improve speed and consistency.\nMentor engineers in business discovery, problem framing, rapid prototyping, and technical stakeholder communication.\nMinimum Requirement\nDegree or equivalent experience and typically 8+ years of relevant experience in software engineering, solution engineering, solution architecture, technical consulting, enterprise application delivery, or digital transformation.\nEducation\nBachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.\nCritical Skills\n8+ years of experience building, integrating, troubleshooting, or delivering enterprise software solutions.\nStrong hands-on full-stack engineering and troubleshooting experience across modern web applications, APIs, data, AI services, identity, security, and cloud infrastructure.\nHands-on experience with React, Node.js, TypeScript, Python, and modern web application architecture.\nProficiency in API diagnostics and browser-based troubleshooting, including network requests, authentication, application state, errors, and performance issues.\nHands-on experience with Snowflake and Databricks, including data pipelines, lineage, reconciliation, data quality, and performance tuning.\nExperience using logs, metrics, traces, dashboards, and alerting to perform root-cause analysis and validate end-to-end solution behavior.\nDemonstrated ability to diagnose issues across applications, integration, data, AI, security, and infrastructure layers and determine the appropriate path to resolution.\nDemonstrated experience translating ambiguous business problems into working technical solutions, prototypes, or proofs of concept.\nExperience designing or prototyping AI-enabled solutions such as copilots, agents, retrieval-augmented generation, semantic search, decision support, or workflow automation.\nExperience using AI coding assistants, such as Claude or comparable tools, to accelerate development while reviewing, testing, securing, and refining generated code to meet McKesson engineering and quality standards.\nSound understanding of software delivery, enterprise integration, security, privacy, Responsible AI, data governance, operational readiness, and supportability.\nExperience working directly with business leaders, subject matter experts, end users, and cross-functional engineering teams.\nAbility to evaluate technical alternatives, explain tradeoffs, and recommend fit-for-purpose approaches without complete requirements.\nExcellent written, verbal, facilitation, and presentation skills, with the ability to communicate complex technical concepts to technical and nontechnical audiences.\nAbility to operate independently across complex or highly visible initiatives while keeping stakeholders aligned on outcomes, scope, risks, and ownership.\nAdditional Skills\nHealthcare industry experience supporting oncology, clinical operations, revenue cycle, patient access, care management, provider operations, or related domains.\nExperience with Azure AI services, Databricks, Python, C#, TypeScript, REST APIs, ServiceNow, Salesforce, Power BI, or comparable enterprise technologies.\nExperience applying retrieval-augmented generation, prompt and response evaluation, agentic workflows, semantic search, or AI guardrails.\nExperience working in regulated environments and applying Responsible AI, cybersecurity, privacy, compliance, and data governance requirements.\nExperience with Agile, product-led, innovation lab, consulting, or pod-based delivery models.\nAbility to learn unfamiliar business domains and technology environments quickly.\nStrong customer and business empathy, outcome orientation, engineering judgment, and ability to influence without direct authority.\nWorking Conditions\nFlex & Connect work model with a requirement to be in the office two (2) days per week.\nWe are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations.In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.\nOur Base Pay Range for this position\n$122,100 - $162,800McKesson 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:\nMcKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.\nMcKesson 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.\nMcKesson job postings are posted on our career site: careers.mckesson.com.\nMcKesson is an Equal Opportunity Employer\nMcKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.\nMcKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States)  or (Canada) . Resumes or CVs submitted to this email box will not be accepted.\nJoin us at McKesson!","description_format":"text","description_chars":10179,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Pharmaceutical Distribution","Medical Equipment Distribution"],"lifecycle":[{"event":"open","at":"2026-10-19T22:10:34Z"}],"visa":[],"liveness":{"score":58,"band":"ok","label":"Likely open","p_open":1,"p_active":0.774,"p_room":0.75,"age_days":22,"expected_fill_days":25,"reasons":["conf:1","velocity","win:late","comp:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/mckesson-forward-deployed-engineering-us-oncology","json_url":"https://alion.io/job/mckesson-forward-deployed-engineering-us-oncology.json","meta":{"generated_at":"2026-10-22T05:50:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":372,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4393},"rest":"https://alion.io/mcp/rest/get_company?id=4393"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmckesson-forward-deployed-engineering-us-oncology"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmckesson-forward-deployed-engineering-us-oncology"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmckesson-forward-deployed-engineering-us-oncology"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/mckesson-forward-deployed-engineering-us-oncology\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmckesson-forward-deployed-engineering-us-oncology"}]}