Job Opening for AI Lead / Architect at Boston Massachusetts
M A
Hi…….Greetings,
This is Manasa from ITech US Inc. Below are the position details with one of
our clients. We would like to know if you are interested in this job or if you
can recommend someone who might be a suitable candidate.
Job Title: AI Lead / Architect
Location: Boston Massachusetts
Onsite
Opportunity
12+Years of Exp
VISA : Looking only H1B with PP NUMBER
The AI Tech Lead is responsible for architecting, designing, and leading end to
end AI/GenAI solutions across enterprise programs. This role combines deep
technical expertise with leadership to drive AI adoption, guide technical
teams, collaborate with business stakeholders, and ensure scalable, secure, and
compliant AI delivery. The AI Tech Lead acts as the primary technical authority
for AI initiatives within the program/CoE.
Responsibilities
1. AI Solution Architecture & Design
• Lead the architecture and design of
AI/ML/GenAI solutions (LLMs, prompt engineering, vector search, RAG, NLP,
computer vision, MLOps, automation).
• Evaluate and select appropriate AI
frameworks, models (open-source & proprietary), cloud services, and data
pipelines.
• Define scalable architectures using
Azure, AWS, GCP, or hybrid environments.
• Drive RAG pipelines, model fine tuning,
and embeddings strategy for enterprise use cases.
2. Technical Leadership
• Mentor and guide a team of AI engineers,
data scientists, ML engineers, analysts, and automation engineers.
• Conduct code reviews, design reviews, and
ensure best practices in AI and software engineering.
• Build reusable AI components,
accelerators, and frameworks for the organization.
3. Delivery & Execution
• Translate business requirements into
technical specifications and AI solution approaches.
• Lead POCs, pilots, and AI product
lifecycle from ideation to deployment.
• Ensure accuracy, performance, and
reliability of AI systems through evaluations, testing, and optimizations.
• Coordinate with DevOps/MLOps teams for
CI/CD pipelines, model deployment, monitoring, and observability.
4. Data Engineering & Governance
• Work closely with data engineering teams
to define data ingestion, cleansing, feature engineering, and model training
datasets.
• Ensure compliance with enterprise data
governance, privacy, security, and ethical AI guidelines.
• Set up monitoring systems for model
drift, data drift, and performance degradation.
5. Stakeholder Management
• Collaborate with business leaders,
product owners, architects, QA and Validation leads, and delivery partners.
• Communicate technical concepts in a
simple, business-friendly manner.
• Prepare architecture documents, solution
blueprints, and presentations for leadership reviews.
Education: At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or a closely related field is required for the project
Manasa Salla
Sr Technical Recruiter
I Tech US Inc.
LinkedIn: https://www.linkedin.com/in/manasa-salla-0836711a8