
The AI Architect is responsible for designing, developing, and governing enterprise grade AI solutions that align with business strategy. This role blends deep technical expertise in artificial intelligence, machine learning, Data, and cloud architecture with strong product intuition, security awareness, and leadership. The AI Architect ensures that AI initiatives are scalable, ethical, secure, cost efficient, and integrated into the broader enterprise ecosystem.
Key Responsibilities
AI Strategy & Solution Architecture
- Define and evolve the enterprise AI architecture, ensuring alignment with business, data, and technology strategies.
- Design scalable, secure, and compliant automation solutions to streamline across the enterprise
- Architect end to end AI solutions including data engineering, RAG model development, model operations (MLOps), and lifecycle management.
- Partner with business, product, and engineering teams to translate business problems into appropriate AI/ML approaches.
- Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- 5+ years of experience in application development, engineering, or solution delivery roles.
- 1+ years of hands-on experience in AI/ML engineering, data science, or AI solution architecture.
- Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure AI Foundry, Copilot Studio/Agent Builder, or comparable generative AI ecosystems).
- Deep expertise in cloud platforms, particularly Microsoft Azure, and modern architectural patterns (microservices, event-driven architectures, API-first design).
- Proficiency in one or more of the following: Python, Azure Machine Learning, or related AI/ML tooling.
- Experience with MLOps/LLMOps ecosystems, including tools such as MLflow, Kubernetes, LangChain, vector databases, and feature stores.
- Strong hands on experience with ML frameworks, LLM platforms - OpenAI, MSFT/Azure Cloud foundry, Copilot Studio Agent builder, low code/no code platforms, and generative AI tools.
- Background in RAG systems, model fine tuning, embeddings, vector storage, and retrieval optimization.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.