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About the Role
We are seeking an experienced Solution Architect to join our AI Platforms team. This role serves as 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. You will collaborate with senior client stakeholders to define technical vision, remove impediments for delivery teams, and ensure architectural alignment with security, compliance, and cost constraints. Additionally, you will support pre-sales activities by scoping solutions, estimating effort, and building technical proposals.
Responsibilities
- Define and own the end-to-end technical architecture for data and AI projects, including 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.
- Lead architecture reviews, design sessions, and technical governance forums.
- Remove technical impediments for engineering teams and provide hands-on guidance.
- Oversee the full project lifecycle from advisory and assessments through prototyping to full-scale production deployment.
- Ensure solutions are designed for production readiness, addressing scalability, reliability, observability, and cost optimization.
- Support business development by contributing to technical scoping, architecture proposals, and effort estimations.
- Participate in client presentations and workshops.
- Identify expansion opportunities within existing accounts.
- Mentor junior consultants and engineers.
- Contribute to building internal IP, accelerators, and reference architectures.
- Stay current on the evolving landscape of cloud services, AI frameworks, and industry best practices.
Requirements
- 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 including 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 and translate business needs into technical solutions.
- Excellent communication and presentation skills.
- Strong problem-solving skills and ability to make sound architectural trade-offs under uncertainty.
- Fluent in French.
- Professional proficiency in English.
- Hands-on coding ability (Python, Terraform/IaC, or similar) for prototyping and technical validation (Nice to Have).
- Experience with MLOps / LLMOps tooling and production deployment pipelines (Nice to Have).
- Professional-level certifications (e.g., AWS Solutions Architect Professional, Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect, Databricks Professional Data Engineer) (Nice to Have).
- Experience in management consulting or client-facing delivery environments (Nice to Have).
- Familiarity with AI compliance frameworks and responsible AI practices (Nice to Have).
- 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.
Skills
- Cloud Architecture
- Data Architecture
- AI Architecture
- Machine Learning
- Generative AI
- Cloud Infrastructure
- Data Pipelines
- ML/DL Model Serving
- Agent-based Systems
- Security Policies
- Regulatory Requirements
- GDPR
- EU AI Act
- Scalability
- Reliability
- Observability
- Cost Optimization
- AWS
- Microsoft Azure
- Google Cloud Platform
- Databricks
- OpenAI
- Anthropic
- NVIDIA
- Networking
- Compute
- Storage
- Managed AI/ML Services
- Classical ML
- Deep Learning
- Autonomous Agents
- Data Engineering
- Python
- Terraform
- IaC
- MLOps
- LLMOps
- Responsible AI
Location
- New York City
- Charlotte
- Greater Seattle
- San Francisco Greater Bay Area
- Los Angeles
- Houston
- Atlanta
- Baltimore
- Chicago
- Washington D.C.
Work Type
- Part-time embedded in cross-functional project teams
- Hybrid (at least three days per week in a Sia office or approved coworking location when not serving clients)
- Onsite at client location (when required by engagement needs)
Experience Level
- Staff-level individual contributor
- 4 to 7 years of experience
Education Level
- Master’s degree in computer science, engineering, or a related field
Salary/Compensations
- $130,600-135,700
Benefits
- Annual Performance Bonus
- 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
- One floating holiday
- Cell phone stipend
- Well-being and professional development programs
About the Company
- Sia is a next-generation, global management consulting group founded in 1999, specializing in strategy and management augmented by data science, creativity, and responsibility.
- Sia’s AI & Data Business Unit merges cutting-edge Data Science, Generative AI, and advanced digital solutions.
- With over 350 experts worldwide and 12 R&D labs, the AI & Data team tackles projects from proof-of-concept to large-scale deployment, continuously researching areas like computer vision, MLOps, and deep learning.
- Sia has 3,000 consultants serving clients worldwide from 48 locations in 19 countries.
Equal Opportunity
- At Sia, we believe in fostering a diverse, equitable, and inclusive culture where our employees and partners are valued and thrive in a sense of belonging.
- Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.