Cognitive Solutions Architect


Bangalore or Hyderabad


10 Years - 15 Years


Banking and Financial Services

Job Application

Accepting Applications

Job Description

We are hiring researchers, data scientists, machine learning engineers, software engineers, performance engineers and QA engineers for our Cognitive Engineering Team.

Our Cognitive Engineering Team has the mission to explore, enable and exploit artificial intelligence, machine learning, natural language processing and cognitive computing at scale for countless use cases across the business. This team will engage the business to explore, prototype, and solution use cases while also building out a portfolio of foundational Cognitive microservices in the hybrid cloud.

The Cognitive Solutions Architect will be the liaison between a line of business and the Cognitive Engineering Team to architect the end to end solutions for business use cases.


  • Engage with lines of business, users and analysts to identify opportunities and use-cases for exploiting data and cognitive and machine learning technologies.
  • Architect the end to end cognitive solution and overall integration into the business application and business process.
  • Work as the liaison between the business client/user and the cognitive technology/development teams to communicate requirements and ensure successful adoption of the cognitive solution.
  • Lead the cognitive team (data scientists, software engineers, performance engineers, QA engineers) to deliver the solution.
  • Work with other business and technology teams (infrastructure, application development, operations) to deliver the end to end solution development, integration and deployment.

Ideal Candidate & Qualifications


  • Bachelors degree (preferably in Computer Science or related field), Masters preferred
  • 7+ years experience in information technology solution architecture
  • Experience in architecting and deploying artificial intelligence, machine learning and cognitive solutions into production operations including model lifecycle management.
  • Excellent Communication skills. The ability to communicate at the right level with all parties involved, including senior management and business owners.
  • Strong analytical skills. Previous experience or education focused on statistics or data science is valuable.

Any of the following skills are highly desirable:

  • Strong background in math, statistics and analysis.
  • Leading a software development team
  • Data Science and Machine Learning Platforms Frameworks (R, Apache Spark / MLlib, TensorFlow, Scikit-learn, etc)
  • Natural Language Processing (NLTK, CoreNLP, Gensim, Spacy, etc..)
  • Experience with Big-Data technologies and cloud (Hadoop, AWS, other)
  • Linux / Bash scripting
  • Relational databases (Oracle, PostgreSQL, MySQL, etc.)
  • Agile development methodology
  • CI/CD Development environments and tools (GIT, Maven, Jenkins, etc)
  • Kubernetes
  • RESTful Microservice APIs
  • Prior Financial services industry experience not required, but an added plus.


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