AI Solutions Architect - Life Sciences

We need to output HTML fragment only, with sections as needed. Must not repeat job title. Use

for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections if posting has real specific content. Must not include filler like "commensurate with experience". Must preserve all substantive info. Remove boilerplate: cookie/navigation/legal/EEO etc. Also remove duplicated lines, application instructions. The posting includes: intro paragraph about AI & Engineering team, then "Work you'll do" with bullet-like sentences (but not bullet list). Then "The team" paragraph. Then "Qualifications" with Required and Preferred bullet-like lines. Then wage range paragraph. Also mention "Recruiting for this role ends on 09/30/2026." That's metadata; could be placed in a short

. Also "Ability to travel up to 50%..." is part of qualifications. Also "Limited immigration sponsorship may be available". Also "You may also be eligible to participate in a discretionary annual incentive program..." That's benefits? Could be part of Benefits section. Also "The wage range..." is Pay. Also "Recruiting for this role ends on 09/30/2026." maybe schedule? Not schedule. Could be a short p. We need to decide sections: About the role (intro paragraph). Responsibilities (the "Work you'll do" list). Requirements? Could combine Qualifications and Requirements. The posting has "Qualifications Required:" and "Preferred:" plus some other qualifications like ability to travel, immigration sponsorship. Could put under Requirements (or Qualifications). Since we have both Requirements and Qualifications as possible headings, we need to decide which to use. The instruction: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We can include multiple. We should avoid thin sections. Likely we need About the role, Responsibilities, Qualifications (maybe combine Required and Preferred), Pay, Benefits (incentive program), maybe Schedule? No schedule info. So omit Schedule. We also have "Recruiting for this role ends on 09/30/2026." Could be a short p under About the role or separate? Could be a short p after About the role. We must not repeat job title. No Job ID. We need to use

• for any list of duties/requirements/benefits. So for responsibilities we need to convert sentences into list items. For qualifications required and preferred we need list items. For benefits (discretionary annual incentive program) maybe list. We must preserve all substantive information; do not invent or summarize away detail. So we need to keep all details: e.g., "Lead small engagements or key workstreams within large, complex data and analytics transformations for Life Sciences clients" etc. We need to ensure we don't lose any info. Let's extract content: Intro paragraph: "Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements." Then "Recruiting for this role ends on 09/30/2026." (metadata) Then "Work you'll do As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements. Lead small engagements or key workstreams within large, complex data and analytics transformations for Life Sciences clientsDesign and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platformsManage day-to-day stakeholder relationships and align technical delivery to business and program objectivesOversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teamsSupport practice growth through proposal development, thought leadership, and coaching junior practitioners" Note there are missing spaces after periods; but we can treat each sentence as separate bullet. Then "The team Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Throughout the health ecosystem, you'll find courageous and inspiring people who are committed to driving transformation, advancing health equity, and leading a well-being revolution. Where you find innovators committed to sustainable progress, you'll find Deloitte's Life Sciences & Health Care practice. Our leaders work side-by-side to orchestrate and deliver on the business of science and health. We bring trusted, flexible approaches that foster innovation, harness new technologies, and formulate consumer-driven strategies to engineer a digitally enabled, equitable future of health - starting today. Across life sciences you'll find innovators who are developing therapies, treatments, devices, and cures to meet society's most pressing health challenges and deliver wellness for all. Alongside them, you'll find our leaders, the professionals of Deloitte's Life Sciences practice, who are orchestrating and delivering the business of science and health. We help drive impact through deep industry experience and insights; transformative strategies; trusted, flexible approaches; and new technologies. We help accelerate action and create connections that empower a digitally enabled, equitable future of health." That's a lot of prose; we can keep as

  under About the role or maybe a separate section "The team". But we only have headings list; we could include "About the role" covering intro and team description. Or we could have "About the role" and "Team" but not in list. Better to keep under About the role. Then qualifications: Required: - 6+ years hands-on experience delivering AI solutions for Life Sciences - 1+ years hands-on experience with AI/GenAI solution architecture, especially agentic systems and LLM-enabled applications - 1+ years experience with RAG, embeddings, vector databases, orchestration frameworks, memory/state patterns, and tool-use architectures - 1+ years experience building or governing LLMOps practices such as evaluation, monitoring, prompt lifecycle management, and guardrails - 2+ years experience leading, managing and delivering complex AI Solutions engagements - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field - Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve - Limited immigration sponsorship may be available Preferred: - Life Science R&D AI Solutions experience - Experience in consulting and client-facing delivery roles - Experience in creating critical collaterals for client workshops and customer interactive sessions - Experience presenting technical content to both large and small audiences Pay: - The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. - The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. - At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. - A reasonable estimate of the current range is $141,200 to $278,300. Benefits: - You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. We could also include "Recruiting for this role ends on 09/30/2026." maybe as a short p under About the role. We must not include boilerplate like EEO etc. Not present. Now produce HTML fragment. Structure:

  About the role

  Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

  Recruiting for this role ends on 09/30/2026.

  Responsibilities

  • As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements.
  • Lead small engagements or key workstreams within large, complex data and analytics transformations for Life Sciences clients
  • Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
  • Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
  • Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
  • Support practice growth through proposal development, thought leadership, and coaching junior practitioners

  Qualifications

  Required

  maybe we shouldn't use h4 because only allowed headings are h3? The instruction says use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid other headings, but to be safe we could avoid extra headings and just have a single Qualifications section with sublists? Could embed Required and Preferred as

  with maybe
  • and inside we can note? But we need to differentiate required vs preferred. Could do two
    with preceding

    Required:

    and

    Preferred:

    . That's acceptable. Thus:

    Qualifications

    Required:

    • 6+ years hands-on experience delivering AI solutions for Life Sciences
    • 1+ years hands-on experience with AI/GenAI solution architecture, especially agentic systems and LLM-enabled applications
    • 1+ years experience with RAG, embeddings, vector databases, orchestration frameworks, memory/state patterns, and tool-use architectures
    • 1+ years experience building or governing LLMOps practices such as evaluation, monitoring, prompt lifecycle management, and guardrails
    • 2+ years experience leading, managing and delivering complex AI Solutions engagements
    • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field
    • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
    • Limited immigration sponsorship may be available

    Preferred:

    • Life Science R&D AI Solutions experience
    • Experience in consulting and client-facing delivery roles
    • Experience in creating critical collaterals for client workshops and customer interactive sessions
    • Experience presenting technical content to both large and small