AI/ML Architect

Role:

Experience:

Work Mode:

• Primary Skills:

  Python, FastAPI, Generative AI, Agentic AI (Langgraph, Langflow), Prompt engineering, Data science, Machine learning, Natural language processing, NoSQL Database, SQL

Job Summary:

AI/ML Architect

Key Responsibilities:

• Design and architect end-to-end

  AI/ML solutions

  leveraging Python, FastAPI, and modern ML frameworks.
• Develop and implement

  Generative AI

  and

  Agentic AI

  solutions using platforms like

  LangGraph

  and

  LangFlow

  .
• Lead

  Prompt Engineering

  strategies to optimize Large Language Model (LLM) outputs for business use cases.
• Drive innovation in

  Machine Learning

  ,

  Natural Language Processing (NLP)

  , and

  Data Science

  practices.
• Architect and manage data workflows, including integration with

  SQL

  and

  NoSQL databases

  .
• Collaborate with data engineering teams to enable scalable

  data pipelines

  ,

  data warehousing

  , and

  big data

  solutions.
• Ensure architectural alignment with

  MLOps

  practices for model deployment, monitoring, and lifecycle management.
• Provide thought leadership on AI/ML technologies, best practices, and emerging trends.
• Work closely with business stakeholders to translate requirements into scalable AI/ML architectures.
• Mentor and guide developers and data scientists in AI/ML design patterns and architectures.

Required Skills:

• 15+ years of overall IT Architecture experience with a strong background in solution design and architecture.
• 7+ years of hands-on experience as an

  AI/ML Architect and Developer

  .
• Proficiency in

  Python

  and

  FastAPI

  .
• Expertise in

  Generative AI

  ,

  Agentic AI

  (LangGraph, LangFlow), and

  Prompt Engineering

  .
• Strong experience in

  Data Science

  ,

  Machine Learning

  , and

  NLP

  .
• Hands-on experience with

  SQL

  and

  NoSQL databases

  .
• Solid understanding of scalable data systems and distributed computing.

Preferred Qualifications:

• Experience with

  AWS Cloud

  and related AI/ML services.
• Familiarity with

  MLOps

  frameworks and tools for model lifecycle management.
• Exposure to

  Big Data

  technologies and

  Data Warehousing

  solutions.
• Strong knowledge of CI/CD pipelines and containerization for AI/ML workloads.

About IGT Solutions:

IGT Solutions is a next-gen customer experience (CX) company, defining and delivering transformative experiences for the global and most innovative brands using digital technologies. With the combination of Digital and Human Intelligence, IGT becomes the preferred partner for managing end-to-end CX journeys across Travel and High Growth Tech industries. We have a global delivery footprint, spread across 30 delivery centers in China, Colombia, Egypt, India, Indonesia, Malaysia, Philippines, Romania, South Africa, Spain, UAE, the US, and Vietnam, with 25000+ CX and Technology experts from 35+ nationalities.

IGT's Digital team collaborates closely with our customer’s business & technology teams to take solutions faster to market while sustaining quality while focusing on business value and improving overall end-Customer Experience. Our offerings include industry solutions as well as Digital services. We work with leading global enterprise customers to improve synergies between business & technology by enabling rapid business value realization leveraging Digital Technologies. These include lifecycle transformation & rapid development / technology solution delivery services delivered leveraging traditional as well as Digital Technologies, deep functional understanding and software engineering expertise.

IGT is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC® Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.

It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.