Senior AI Architect

We need to output HTML fragment with sections only if content present. Use

for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to map content. The posting includes: company description, job description, responsibilities (Client Architecture & Technical Leadership, Pre-Sales & Business Development, Knowledge Building & Mentoring). Qualifications (Required, Nice to Have). Additional Information includes Compensation & Benefits (Base Salary range, Annual Performance Bonus, Benefits list). Workplace info, Work Authorization, Commitment (EEO). We should remove boilerplate like EEO, equal opportunity, etc. Also remove navigation, cookie, legal, scam-warning, duplicated lines, application instructions (none). Keep substantive info. We need sections: About the role? Could be the introductory paragraph about Sia and AI & Data BU. That could be "About the role" or maybe "About the company". The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We should include sections only if we have real specific content. We have content for About the role: description of Sia, AI & Data BU, role overview. We'll put that under

About the role

with

. Responsibilities: we have bullet points under Client Architecture & Technical Leadership (~70%), Pre-Sales & Business Development (~30%), Knowledge Building & Mentoring. We'll make a

• list. Requirements: maybe combine Required qualifications? The instruction has separate Requirements and Qualifications sections. Could treat Requirements as mandatory qualifications? But we also have Qualifications section. Might be redundant. Perhaps we treat Requirements as the "Required" bullet list, and Qualifications as "Nice to Have"? However they said use headings: Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide mapping. We have Required qualifications (Master's degree, 4-7 years experience, deep expertise in at least two ecosystems, etc.) and Nice to Have (coding ability, MLOps, certifications, consulting experience, AI compliance). Also we have Skills maybe from required: communication, presentation, problem solving, fluent French, English proficiency. We could put Required under

  Requirements

  , Nice to Have under

  Qualifications

  , and maybe Skills under

  Skills

  (communication, presentation, problem solving, language). Or we could combine. We need to avoid filler like "commensurate with experience". We have actual salary range: Base Salary: $117,300-$121,400. That's Pay. Also Annual Performance Bonus (maybe part of Pay). Benefits list. Schedule: we have workplace expectation: between client engagements, consultants expected to work from a Sia office or approved coworking location at least three days per week. Also mention may need to work onsite at client location based on engagement needs. That's schedule info. Thus we can create sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must not repeat job title as heading. No Job ID. We must output only HTML fragment. Let's craft. About the role: combine intro paragraphs: Sia is a next-gen global management consulting group... AI & Data BU description... Job Description: looking for experienced Solution Architect... We'll summarize but preserve all substantive info, not invent or summarize away detail. We need to preserve ALL substantive information; do NOT invent or summarize away detail. That means we should not omit details. But we can rephrase? The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." So we need to keep all details, but we can format them. We cannot leave out any detail like salary range, benefits list, etc. We must keep them. Thus we need to include all details from the posting, except boilerplate. That's a lot. We'll need to include the company description, AI & Data BU description, role overview, responsibilities bullet points, qualifications required, nice to have, skills (communication, presentation, problem solving, language), benefits, pay, schedule, work authorization, commitment? The commitment is EEO boilerplate; we should remove equal opportunity boilerplate. So we can drop that. Work Authorization: "Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future." That's substantive, not boilerplate? It's a requirement; we could include under Requirements or a separate section like "Work Authorization". But we only have allowed headings; we could put it under Requirements maybe as a bullet. We need to avoid duplication. Let's extract all substantive content: Company description: - Sia is a next-generation, global management consulting group. - Founded in 1999, born digital. - Strategy and management capabilities augmented by data science, enhanced by creativity, driven by responsibility. - Optimists for change, help clients initiate, navigate, benefit from transformation. - Believe optimism is a force multiplier, helping clients mitigate downside and maximize opportunity. - Expertise across broad range of sectors and services. - 3,000 consultants serve clients worldwide from 48 locations in 19 countries. - Expertise delivers results. Optimism transforms outcomes. AI & Data Business Unit: - Powerhouse of firm's innovation—merging cutting-edge Data Science, Generative AI, advanced digital solutions to transform industries. - Over 350 experts worldwide. - Tackle projects from proof-of-concept to large-scale deployment, pushing boundaries of AI capabilities. - 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, deep learning, partnering closely with business consultants for real-world impact. - By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. Job Description: - Looking for an experienced Solution Architect to join AI Platforms team. - In this role, you will be the technical authority on client engagements — translating complex business requirements into robust, scalable data and AI architectures across cloud, machine learning, and generative AI domains. - Work directly with senior client stakeholders (CIO, CISO, Engineering leads) to define technical vision, remove impediments for delivery teams, ensure architectural choices align with security, compliance, and cost constraints. - Contribute to pre-sales activities by scoping solutions, estimating effort, building technical proposals that win new business. - This is a staff-level individual contributor role embedded part-time in cross-functional project teams, with a clear path toward engineering management for those who choose it. Client Architecture & Technical Leadership (~70%): - Define and own the end-to-end technical architecture for data and AI projects — covering cloud infrastructure, data pipelines, ML/DL model serving, generative AI applications, and agent-based systems. - Act as the primary technical point of contact for client stakeholders, aligning architectural decisions with business objectives, security policies, and regulatory requirements (GDPR, EU AI Act). - Lead architecture reviews, design sessions, and technical governance forums to ensure quality and coherence across workstreams. - Remove technical impediments for engineering teams and provide hands-on guidance when needed. - Oversee the full project lifecycle: from advisory and assessments through prototyping (POC/MVP) to full-scale production deployment. - Ensure solutions are designed for production readiness — addressing scalability, reliability, observability, and cost optimization. Pre-Sales & Business Development (~30%): - Support business development by contributing to technical scoping, architecture proposals, and effort estimations during the sales cycle. - Participate in client presentations and workshops to demonstrate Sia’s technical capabilities and build trust. - Identify expansion opportunities within existing accounts by surfacing new use cases and technical needs. Knowledge Building & Mentoring: - Mentor junior consultants and engineers, helping them grow their architectural thinking and client-facing skills. - Contribute to building internal IP, accelerators, and reference architectures that leverage frontier technological developments. - Stay current on the evolving landscape of cloud services, AI frameworks, and industry best practices. Qualifications Required: - Master’s degree in computer science, engineering, or a related field. - 4 to 7 years of experience in solution architecture, cloud architecture, or a senior engineering role with significant design responsibilities. - Deep expertise in at least two of the following technology ecosystems: AWS, Microsoft Azure, Google Cloud Platform, Databricks, OpenAI, Anthropic, NVIDIA. - Strong command of cloud architecture patterns — networking, security, compute, storage, and managed AI/ML services. - Solid understanding of the data and AI landscape: classical ML, deep learning, generative AI, autonomous agents, and data engineering. - Proven ability to engage with senior client stakeholders (CIO, CISO, VP Engineering) and translate business needs into technical solutions. - Excellent communication and presentation skills — able to convey complex technical concepts to both technical and non-technical audiences. - Strong problem-solving skills and ability to make sound architectural trade-offs under uncertainty. - Fluent in French; professional proficiency in English. Nice to Have: - Hands-on coding ability (Python, Terraform/IaC, or similar) for prototyping and technical validation. - Experience with MLOps / LLMOps tooling and production deployment pipelines. - Professional-level certifications (e.g., AWS Solutions Architect Professional, Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect, Databricks Professional Data Engineer). - Experience in management consulting or client-facing delivery environments. - Familiarity with AI compliance frameworks and responsible AI practices. Additional Information: Compensation & Benefits: - Sia invests in total rewards that support how our people work, live, and grow. - Compensation Base Salary: $117,300-$121,400 - Actual compensation within this range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by applicable law. - Annual Performance Bonus - Benefits: Medical, dental, and vision; company-paid life and AD&D; voluntary supplemental insurance and EAP; 401(k) with company match and immediate vesting; HSA and FSA options; College savings and student loan repayment programs; Paid parental leave; generous PTO, nine company holidays, and one floating holiday; Cell phone stipend; well-being and professional development programs - Benefits are subject to applicable plan terms and eligibility requirements. Workplace: - Sia values in-person collaboration. - When serving clients, consultants may be required to work onsite at a client location based on engagement needs. - Between client engagements, consultants are expected to work from a Sia office or approved coworking location at least three days per week. - Candidates should reside within a reasonable commuting distance of a Sia office or approved coworking location. - Sia maintains offices and coworking arrangements across multiple U.S. markets, including New York City, Charlotte, Greater Seattle, San Francisco Greater Bay Area, Los Angeles, Houston, Atlanta, Baltimore, Chicago, Washington D.C. Work Authorization: - Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. - This position is not eligible for employment visa sponsorship now or in the future. Commitment (EEO) - we should remove. Thus we need to map to headings. We could do:

  About the role

  with company description, AI & Data BU, job description overview.

  Responsibilities

  with the three subsections combined into a list.

  Requirements

  with Required qualifications.

  Qualifications

  with Nice to Have.

  Skills

  maybe communication, presentation, problem solving, language fluency (these are also in Required but could be separate). However we already have communication etc in Required; but we could still list them under Skills. Might duplicate but okay as long as we preserve info. Could also put language under Skills.

  Benefits

  with benefits list.

  Pay

  with base salary range and annual performance bonus.

  Schedule