AI Architect

• Define and own end to end AI architecture for enterprise solutions, from data ingestion to AI driven decisioning and insights.
• Design AI native platforms where GenAI and ML capabilities are embedded as core services, not bolt ons.
• Establish modular, reusable, and composable AI components aligned to enterprise architecture standards.
• Ensure scalability, performance, reliability, and security of AI systems in production.

• Define and own end to end AI architecture for enterprise solutions, from data ingestion to AI driven decisioning and insights.
• Design AI native platforms where GenAI and ML capabilities are embedded as core services, not bolt ons.
• Establish modular, reusable, and composable AI components aligned to enterprise architecture standards.
• Ensure scalability, performance, reliability, and security of AI systems in production.

• Architect Generative AI solutions, including:
• Large Language Models (LLMs)
• Retrieval Augmented Generation (RAG)
• Multi agent and agent orchestration patterns
• Define agent workflows, memory/context handling, tool integration, and decision confidence mechanisms.
• Guide responsible selection and usage of cloud based and open source LLMs.

• Design AI solutions leveraging modern data platforms, feature stores, vector databases, and knowledge graphs.
• Define MLOps / LLMOps pipelines for training, evaluation, deployment, monitoring, and lifecycle management.
• Implement mechanisms for model versioning, drift detection, cost optimization, and continuous improvement.

• Ensure AI solutions adhere to enterprise security, privacy, and compliance requirements.
• Embed Responsible AI principles, including explainability, auditability, bias mitigation, and human in the loop controls.
• Define governance frameworks for model usage, access control, and operational oversight.

• Act as technical thought leader for AI initiatives across delivery teams.
• Collaborate with product owners, UX designers, data engineers, cloud engineers, and Dev Ops teams.
• Provide architecture guidance, reviews, and mentorship to senior engineers.
• Communicate complex AI concepts clearly to technical and non technical stakeholders.

• Strong experience with Generative AI and Agentic AI architectures
• Hands on knowledge of LLMs, embeddings, RAG pipelines, prompt engineering, and agent frameworks
• Proficiency in Python for AI/ML development

• Experience with ML/DL frameworks such as Tensor Flow, PyTorch, scikit learn
• Knowledge of data engineering, feature engineering, an d analytics pipelines
• Familiarity with vector databases, graph databases, and search engines

• Experience designing AI solutions on cloud platforms (AWS, Azure, or GCP)
• Strong understanding of cloud native, microservices, and API driven architectures
• Exposure to observability, monitoring, and logging for AI systems

• Knowledge of data privacy, security best practices, and enterprise compliance standards
• Experience designing secure and governed AI solutions

• 12–16 years of overall IT experience
• 8+ years of experience in AI/ML solution or enterprise architecture
• Proven experience delivering production grade AI platforms at scale
• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field

• Strong analytical and problem solving skills
• Excellent communication and stakeholder management abilities
• Ability to balance strategic vision with hands on architectural depth
• Experience working in agile and fast paced delivery environments
• Mentoring mindset with the ability to uplift technical teams

Salary Range $120 000-$150,000 year

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

BACHELOR OF COMPUTER SCIENCE