Solutions Architect

About The Role:

We are seeking an experienced Solutions Architect
with deep expertise in designing and implementing AI-driven solutions. The ideal candidate will have a strong background in
AI/ML architecture
,
cloud deployment
, and
MLOps practices
, along with excellent leadership and communication skills.

Key Responsibilities:

• Architect AI Solutions:
  Design end-to-end AI application architectures, including
  data ingestion, model training, deployment, and monitoring
  .
• System Design:
  Create high-level and detailed system designs for
  AI-driven platforms
  , ensuring
  scalability, reliability, and security
  .
• CI/CD & Automation:
  Implement and manage
  CI/CD pipelines
  using
  GitHub Actions
  for Python-based AI projects.
• Cloud & Containerization:
  Deploy and manage AI workloads on
  Azure
  using
  Kubernetes
  and containerization best practices.
• Integration:
  Ensure smooth integration of AI services with existing
  enterprise systems and APIs
  .
• Performance & Security:
  Optimize system performance and enforce
  security standards
  across all solutions.

Required Skills and Qualifications:

• Education:
  Bachelor's/Master's in Computer Science, Data Science, or related field.
• Experience:
• 8+ years
  in solution architecture, with at least
  3 years in AI/ML applications
  .
• Technical Expertise:
• Strong proficiency in Python
  for AI/ML development.
• Hands-on experience with
  GitHub Actions
  for CI/CD automation.
• Expertise in
  Kubernetes
  for container orchestration.
• Deep knowledge of
  Azure Cloud services
  (AI/ML, Compute, Networking).
• Solid understanding of
  System Design principles
  for distributed systems.
• Familiarity with
  MLOps
  ,
  Docker
  , and
  microservices architecture
  .
• Proficiency in
  API design
  and
  microservices architecture
  .
• Familiarity with
  vector databases
  (Pinecone, Weaviate),
  RAG pipelines
  , and
  embedding models
  .
• Soft Skills:
  Excellent communication, stakeholder management, and problem-solving abilities.

Preferred Skills:

• Experience with
  Azure AI services
  and
  model deployment pipelines
  .
• Knowledge of
  security best practices
  for AI/ML systems.
• Strong understanding of
  performance optimization
  for large-scale AI workloads.

Why Join Us:

• Opportunity to lead
  cutting-edge AI architecture projects
  .
• Collaborative and innovative team environment.
• Competitive compensation and benefits package.