Overview
Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Skills
Solutions Architect
Job Details
Responsibilities:
Required Qualifications:
Required Skills:
Tools & Soft Skills:
1280
- Serve as a trusted advisor to business teams by understanding their requirements and translating them into effective cloud-based AI/ML solutions.
- Provide strategic recommendations and develop technical roadmaps for AI/ML adoption and implementation.
- Create detailed application, data, and deployment architectures, as well as functional design specifications and other project deliverables.
- Design scalable, secure, and high-performing AI/ML solutions aligned with business needs and enterprise standards.
- Collaborate with cross-functional teams including Information Security, Compliance, and Controls to ensure architectural integrity and alignment.
- Lead AI/ML architecture design sessions and provide subject matter expertise during project execution.
- Advocate for best practices in MLOps and DataOps within the enterprise.
Required Qualifications:
- Bachelor’s degree in Computer Science or a related field (Master’s preferred or equivalent experience).
- 10+ years of progressive experience in application development, with at least 5–6 years in solution architecture or systems engineering, specifically in AI/ML domains.
- 5+ years of experience working with a major cloud provider (AWS strongly preferred).
- Proven experience in designing and deploying machine learning models and statistical solutions in production environments.
- Deep knowledge of AWS services, particularly AWS Bedrock, Amazon SageMaker, and other GenAI and ML offerings.
- Proficient in Python, Spark, or R.
- Strong understanding of MLOps/DataOps lifecycles and engineering implementation in enterprise-scale environments.
- Familiarity with AI services for speech, vision, and natural language processing.
- Experience with architecture principles and frameworks (TOGAF preferred).
- AWS Professional Certification (AI/ML-focused) is a plus.
Required Skills:
- Strong problem-solving and analytical capabilities.
- Excellent communication, presentation, and stakeholder management skills.
- Ability to create and convey compelling technical visualizations and documentation.
- Experience influencing and aligning diverse teams toward a common architectural vision.
- Strong collaboration and interpersonal skills with the ability to work across technical and business functions.
Tools & Soft Skills:
- Expertise in stakeholder engagement, vendor management, and relationship building.
- Proficiency in Agile/Scrum methodologies.
- Tools: AWS Cloud services, Jupyter, Git, Terraform, Confluence, Jira.
- Strong written communication and documentation capabilities.
- Skilled in facilitating discussions, resolving conflicts, and driving decisions.
1280
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.