Delivery Senior Consultant, Data Engineering and Gen AI Conversion Solutions

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule only if content present. We need to parse the posting. First, we need to remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. There's none obvious. We need to preserve all substantive info. We need to use

for section headings. We need to use

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  for prose. We need to not repeat job title as heading (the page already shows it). So we should not have heading "Senior Consultant, Data Engineering". We'll start with maybe "About the role" if there is content. Let's identify sections: - Intro paragraph: "Join Deloitte's Government & Public Services (GPS) practice as a Senior Consultant, Data Engineering and help deliver data solutions that support mission-driven outcomes. In this role, you will contribute to the design, build, and execution of data engineering and conversion solutions for government clients. You will work across data migration, integration, and validation activities to help clients modernize platforms and scale their data capabilities within Deloitte's US Delivery Center model." That's about the role. - Then "Work you'll do As a Senior Consultant, Data Engineering on the GPS AI & Data team, you will be responsible for..." then bullet-like sentences: "Developing, designing, and maintaining cutting-edge AI-based systems, ensuring smooth and engaging user experiences", "Participating in a wide variety of Natural Language Processing activities, including refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review", "Developing and promoting standards across the community", "Working with leadership and stakeholders to identify AI opportunities and promote strategy", "Building and prioritizing backlog for future machine-learning enabled features to support client business processes". These are responsibilities. - Then "A successful candidate would possess these skills:" then list: "Ability to work independently and collaborate as part of a team", "Effective written and verbal communication skills", "Meticulous attention to detail and quality of work product", "Ability to build and sustain professional relationships", "Ability to lead projects or workstreams", "Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment", "Strong interpersonal skills and professional demeanor", "Ability to meet deadlines", "Ability to provide clear guidance to others". These are skills. - Then "The team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte. The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements." This is more about the team / company description; could be part of "About the role" or separate "About the team". But we only have allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We could put team description under About the role (maybe combine). Or we could create a separate section like "About the team" but not allowed. So we incorporate into About the role. - Then "Qualifications Required:" list: Bachelor's degree..., 6+ years experience programming in Python or R..., 5+ years experience with NLP and LLM..., 2+ years understanding of machine learning algorithms..., Proven experience with cloud-hyperscalers..., Proven experience with big data technologies..., Ability to travel 10%, Must be legally authorized..., Must be able to obtain and maintain required clearance. These are qualifications (required). Then "Preferred:" list: 1+ years experience supporting government or public sector data programs, Master's Degree..., Experience working with Agile delivery methods, Experience with Agentic AI development. These could be under Qualifications as well (maybe separate Required vs Preferred). But we have only Qualifications heading; we can include both required and preferred under that. - Then "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." That's about benefits/compensation (maybe Benefits). It mentions discretionary annual incentive program. That's a benefit. So we can create a Benefits section with that info. - No explicit Pay or Schedule info. So we should not create those sections. Thus sections: About the role (combining intro + team description), Responsibilities, Skills, Qualifications, Benefits. We need to ensure we don't create empty sections. Now format:

  About the role

  Join Deloitte's Government & Public Services (GPS) practice as a Senior Consultant, Data Engineering and help deliver data solutions that support mission-driven outcomes. In this role, you will contribute to the design, build, and execution of data engineering and conversion solutions for government clients. You will work across data migration, integration, and validation activities to help clients modernize platforms and scale their data capabilities within Deloitte's US Delivery Center model. Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte. The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

  But we might be duplicating some content; but we need to preserve all substantive info. It's okay to repeat? The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." It doesn't forbid repetition, but we should avoid duplication if possible. However we can combine. Better: Keep intro paragraph as is, then add team description after. We'll produce a single paragraph that includes both. Now Responsibilities: list items. We need to use
  • for any list of duties/requirements/benefits. Thus:

    Responsibilities

    • Developing, designing, and maintaining cutting-edge AI-based systems, ensuring smooth and engaging user experiences
    • Participating in a wide variety of Natural Language Processing activities, including refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review
    • Developing and promoting standards across the community
    • Working with leadership and stakeholders to identify AI opportunities and promote strategy
    • Building and prioritizing backlog for future machine-learning enabled features to support client business processes
    Now Skills: list.

    Skills

    • Ability to work independently and collaborate as part of a team
    • Effective written and verbal communication skills
    • Meticulous attention to detail and quality of work product
    • Ability to build and sustain professional relationships
    • Ability to lead projects or workstreams
    • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
    • Strong interpersonal skills and professional demeanor
    • Ability to meet deadlines
    • Ability to provide clear guidance to others
    Now Qualifications: include required and preferred. We could separate required and preferred as subheadings? Not allowed; only headings from list. Could we embed paragraphs? We could have a

    for required then

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      • . We'll include both required and preferred items in same list, maybe with a note? But we must preserve all info; we can include required and preferred as separate paragraphs before list? The instruction: "Use
        • for any list of duties/requirements/benefits, and

          for prose." So if we have a list of qualifications, we should use

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            . We have both required and preferred; we could have a

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            for list? But the list itself is the qualifications. Could do:

            Required qualifications:

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            Preferred qualifications:

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            . That seems okay. Thus:

            Qualifications

            Required:

            • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or another quantitative field or equivalent experience
            • 6+ years of experience programming in Python or R with libraries like Tensorflow, PyTorch, or Keras
            • 5+ years of experience with NLP and LLM, especially focused on GenAI technologies such as OpenAI, Claude, Gemini, etc.
            • 2+ years of understanding of machine learning algorithms, including supervised and unsupervised learning
            • Proven experience with cloud-hyperscalers (AWS, Azure, GCP)
            • Proven experience with big data technologies, i.e. Angular, React, NodeJS, C#, .Net, Java, Golang, SQL
            • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
            • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
            • Must be able to obtain and maintain the required clearance for this role

            Preferred:

            • 1+ years of experience supporting government or public sector data programs
            • Master's Degree in related technical discipline
            • Experience working with Agile delivery methods
            • Experience with Agentic AI development
            Now Benefits: we have discretionary annual incentive program. Thus:

            Benefits

            You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program,