AI/ML Architect - Principal (US - EAST)

We need to output HTML fragment with sections: About the role? Actually we have sections: Who You’ll Work With, What You’ll Do, What You’ll Bring, About Us, Compensation and Benefits. Also maybe Pay and Benefits sections. The instruction: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Use

• for any list of duties/requirements/benefits, and

  for prose. Do NOT repeat the job title as a heading. Do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

  or drop it. Preserve ALL substantive information; do NOT invent or summarize away detail. Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. IMPORTANT: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. Prefer a few substantive sections over many thin ones. Output ONLY the HTML fragment — no /, no markdown code fences. Thus we need to extract substantive content and format. We have sections: - Who You’ll Work With: description of Slalom, co-create, etc. That's prose. - What You’ll Do: list of responsibilities (architect and deliver...). Many bullet-like sentences separated by periods. We can turn into

  • each bullet. - What You’ll Bring: requirements/qualifications. Also list. - About Us: description. - Compensation and Benefits: includes benefits description and pay ranges. This is both Benefits and Pay. We can have separate sections: Benefits and Pay. But instruction: prefer few substantive sections over many thin ones. However we have actual pay ranges and benefits details, so we could combine into a "Compensation and Benefits" section with subsections? But they said use headings like Benefits, Pay. Could create two sections: Benefits and Pay. But we need to avoid thin sections; but both have substantive content. Could combine into one section "Compensation and Benefits" but they said use headings like Benefits, Pay. However they gave examples; not strict requirement to use exactly those headings, but they said use

    for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can use those headings if appropriate. We have both Benefits and Pay details, so we can make two sections: Benefits and Pay. That seems fine. We also need to remove EEO boilerplate etc. So we will omit the EEO and Accommodations paragraph. Also remove the note about remote work eligibility? That's substantive: "Please note: This role is not eligible for 100% remote work. Employees must live within a commutable distance of a Slalom Office and must be willing to be onsite at the client and/or Slalom office when needed up to 3 days a week." That's about schedule/location. Could be placed under a Schedule section? They said include Schedule section only if posting actually states them. This is about onsite requirement up to 3 days a week. That's schedule info. So we could create a Schedule section with that note. Or we could incorporate into Responsibilities? Better to make a Schedule section. Thus sections: Who You’ll Work With (maybe "About the role"? but we have that content). Could use "About the role" heading for that paragraph. But they said do NOT repeat the job title as a heading. "About the role" is fine. We have "Who You’ll Work With" which is about team/context. Could be "About the role". We'll use

    About the role

    and put that paragraph. Then "What You’ll Do" -> Responsibilities. Then "What You’ll Bring" -> Requirements or Qualifications. Could use Requirements. Then "About Us" -> About the company. Could be "About Slalom" but we can use "About Us". That's fine. Then "Compensation and Benefits" -> we split into Benefits and Pay. Also Schedule section for onsite requirement. We need to ensure we don't create empty sections. Let's extract content. Who You’ll Work With paragraph: "At Slalom, we co-create modern technology and software products with clients who are accelerating their digital transformation journeys. We blend design, product engineering, analytics, automation, and AI-native delivery to build intelligent products and platforms that can operate safely at enterprise scale. As an AI/ML Architect, you’ll design and deliver production-grade AI systems that combine machine learning, generative AI, agentic workflows, modern data platforms, and cloud-native engineering across AWS, Azure, and Google Cloud. You’ll partner with clients to shape strategy, define secure and governed architectures, and move AI solutions from experimentation into reliable business operations." That's prose. What You’ll Do bullet points (split by sentences): - Architect and deliver enterprise-scale AI systems spanning data products, retrieval pipelines, model orchestration, agentic workflows, evaluation, deployment, monitoring, optimization, and lifecycle management. - Design secure, scalable, cloud-native and hybrid architectures across AWS, Azure, and Google Cloud, including modern AI platform services such as Amazon Bedrock, Azure AI Foundry, Google Vertex AI, and enterprise data platforms. - Lead applied AI solution design across generative AI, agentic AI, multimodal AI, advanced RAG, knowledge assistants, prediction, optimization, computer vision, and decision-support use cases. - Enable production GenAI and agentic AI adoption, including advanced RAG, tool/function calling, structured outputs, workflow orchestration, model routing, prompt and context engineering, memory patterns, and human-in-the-loop controls. - Define AI evaluation, observability, and reliability patterns, including offline test sets, automated evals, tracing, hallucination detection, quality scoring, latency/cost monitoring, feedback loops, and regression testing. - Champion Responsible AI and AI security practices, including governance, explainability, privacy, bias mitigation, guardrails, data protection, threat modeling, access controls, auditability, and compliance-by-design. - Evaluate emerging models, platforms, frameworks, standards, and deployment patterns, providing practical recommendations based on use case fit, enterprise readiness, cost, risk, and operational complexity. - Lead and mentor cross-functional delivery teams of data engineers, AI engineers, ML engineers, software engineers, architects, and consultants, ensuring on-time, high-quality outcomes. - Support business development through proposals, client pitches, solution accelerators, reference architectures, technical points of view, and thought leadership. - Coach and mentor junior consultants, fostering a culture of continuous learning, engineering discipline, responsible innovation, and practical AI adoption across the AI/ML practice. What You’ll Bring bullet points: - 6+ years of experience implementing ML/AI solutions in production, including classical ML, deep learning, generative AI, or agentic AI systems. - 3+ years of experience in professional consulting or IT services, with proven ability to lead client-facing technical engagements. - Hands-on experience designing production AI systems that combine models, data, retrieval, orchestration, APIs, security controls, observability, and user experience into an end-to-end architecture. - Deep understanding of modern GenAI patterns, including advanced RAG, embeddings, vector and hybrid search, re-ranking, knowledge graphs, tool/function calling, structured outputs, context engineering, and multimodal inputs. - Experience with agentic AI architecture patterns, including single-agent and multi-agent workflows, supervisor/worker patterns, state and memory management, workflow orchestration, human approval gates, and safe action execution. - Proficiency with modern AI engineering frameworks and tools such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, Haystack, CrewAI, Hugging Face, or comparable open-source and cloud-native frameworks. - Strong programming skills in Python and modern software engineering practices, with familiarity in APIs, event-driven patterns, test automation, infrastructure as code, and scalable service design. - Proficiency in cloud AI/ML platforms and services such as Amazon Bedrock, AWS SageMaker, Azure AI Foundry, Azure Machine Learning, Google Vertex AI, and related model hosting, retrieval, agent, and evaluation capabilities. - Experience with enterprise data and AI ecosystems such as Databricks, Snowflake, Spark, Kafka, dbt, vector databases, lakehouse architectures, and modern data governance patterns. - Experience with MLOps, LLMOps, CI/CD, model and prompt versioning, automated evaluation, observability, containerization, Kubernetes, serverless deployment, and cost/performance optimization. - Strong understanding of AI architecture tradeoffs, including model selection, retrieval strategy, latency, accuracy, security, privacy, scalability, cost, vendor lock-in, and operating model implications. - Ability to communicate complex AI concepts to technical and non-technical stakeholders, translating architecture choices into business value, delivery risk, and executive-level decisions. - Experience managing delivery teams and shaping AI/ML roadmaps, reference architectures, implementation backlogs, and adoption plans for enterprise clients. - Strong problem-solving, critical thinking, and business acumen, with the judgment to distinguish viable production solutions from prototype-only patterns. About Us paragraph: "Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact. What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days." Compensation and Benefits paragraph: "Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the Principal level and targeted base pay salary range as follows: Boston, New Jersey, New York City, Washington DC, White Plains: $171,000 - $214,000All other locations: $157,000 - $196,000 In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com." We need to separate Benefits and Pay. Benefits list: meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, short/long-term disability, yearly $350 reimbursement account for any well-being-related expenses, discounted home, auto, and pet insurance. Pay: base pay salary range for specific locations and all other locations, plus annual discretionary bonus note. Schedule note: "Please note: This role is not eligible for 100% remote work. Employees must live within a commutable distance of a Slalom Office and must be willing to be onsite at the client and/or Slalom office when needed up to 3 days a week." We'll put that under Schedule section. Now produce HTML. We need to use

    for each section heading. We'll have sections: - About the role (Who You’ll Work