Job Title: AI Architect(Data Scientist + AI/ML Engineering)
Job Location: Reston, VA (Hybrid)
Job Type: Contract
DO NOT SEND GC-EAD, GC & USC PROFILES
Notes:
- Only for H1B/H4-EAD Candidates
- Only for DC/MD/VA/WV/PA/DE/NY/NJ/NC Candidates
- Must have Experience as an AI Architect
- Must have 7 years of Experience in the USA
- Overall 12+ Years of Experience
- Must Read Hiring Manager Required Skills
Hiring Manager Required Skills:
- AI Architect
- 10+ years of overall experience with 3+ years of strong
Data Science building solutions, 2 – 3 years of AI Solutioning experience
(GenAI and Agentic AI is what they will be implementing in future)
- Have an understanding in Data science and AI
- Design a solution in AI – what architecture to use,
what LLM models to use, building solutions in AWS, what DB to use – mongo
db, vector db
- AWS technology stock – Kendra, Aurora, SageMaker,
Bedrock
- Was data scientist in past and moved to architecture
- Drive solutions
- A lead Data Scientist with understanding
of Solution designing can fit for this role
- Not suitable for this role: “Solution
Architects” with no data science background” , “Data Architects”, “Cloud
Architects”
Job Description:
Drive enterprise optimization by developing and executing architectural
strategies for AI-driven initiatives. Translate business needs into secure,
scalable, and high-performing technical solutions while ensuring alignment with
enterprise standards and roadmaps.
Key Responsibilities:
- Develop and maintain domain
architecture models (current, target, and transition states).
- Lead architecture design for AI
solutions leveraging AWS and modern technologies.
- Collaborate with
cross-functional teams and stakeholders to deliver integrated solutions.
- Research emerging technologies
and assess their fit for enterprise adoption.
- Guide vendor evaluations, RFPs,
and architecture governance processes.
- Support development of reusable
patterns, tools, and best practices.
Qualifications:
- Education: Bachelor’s in Computer Science, IT, or related field
(or 4 additional years of experience).
- Experience: 10+ years in architecture, including leadership of
AI-related initiatives.
- Preferred: Advanced degree; exposure to multiple architecture
domains.
Skills:
- Strong expertise in AI solution
design using AWS.
- Advanced stakeholder
collaboration and communication.
- Proficiency with architecture
frameworks, modeling tools, and standards.
- Ability to mentor, influence,
and lead cross-functional teams.
Preferred Certifications:
- Certified System Architect (or
equivalent).