
Job Description – AI Tech Lead
Location: Bangaluru
Experience: 10+ Years
Function: AI Center of Excellence (CoE)
Reporting To: Senior Vice President – CX / Head of AI CoE
We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.
The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.
2. Key Responsibilities
A. Solution Architecture & Strategy
- Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
- Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
- Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
- Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.
B. Project Delivery & Execution Leadership
- Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
- Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
- Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
- Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.
C. Technical Hands-on Expertise
- Architect and build complex AI systems involving:
- Large Language Models (LLMs) & GenAI apps
- Agentic workflows and autonomous task orchestration
- Predictive modeling, forecasting, optimization, and statistical modeling
- Knowledge graphs, vector databases, embeddings
- Data engineering pipelines (ETL/ELT) and cloud-native architectures
- Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.
D. Team Leadership & Mentoring
- Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
- Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
- Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.
E. Stakeholder & Client Management
- Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
- Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
- Support pre-sales with solutioning, effort estimation, and technical presentations.
3. A. Technical Skills
- Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
- Hands-on experience building applications using:
- LLMs, RAG, fine‑tuning, prompt engineering
- Autonomous AI agents & multi-agent systems
- Predictive ML models (Regression, Classification, Clustering, NLP, CV)
- Expertise in microservices architecture, API design, scalable deployments.
- Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
- Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.
B. Functional & Domain Skills
- Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
- Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.
C. Leadership & Soft Skills
- Strong team leadership and mentoring experience.
- Excellent communication, client-facing abilities, and stakeholder management skills.
- Strong decision-making, problem-solving, and delivery ownership.
4. Qualifications
- Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
- 10–15 years total experience with at least 5+ years leading AI/ML projects.
- Demonstrated success delivering large-scale AI programs in enterprise environments.
- Certifications in AI/ML, cloud, or architecture (preferred).

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Experience and Expertise
● 7– 10 years of experience in backend development with Python or Golang.
● Solid understanding of RESTful APIs, microservices, and distributed systems.
● Strong knowledge of data structures, algorithms, and OOPS principles.
● Hands-on experience with relational and/or NoSQL databases.
● Familiarity with Linux development, Docker, and basic cloud concepts
(AWS/GCP/Azure).
● Proficiency with Git and version control workflows.
● Familiarity with AI-powered development tools or exposure to projects involving large
language models (LLMs) is a plus.
Skills
● Strong analytical and debugging skills with the ability to solve complex problems.
● Good communication and collaboration skills across teams.
● Ability to work independently with minimal supervision while being a strong team
player.
● Growth mindset – eagerness to learn new technologies
· Design, develop, and implement AI/ML models and algorithms.
· Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.
· Write clean, efficient, and well-documented code.
· Collaborate with data engineers to ensure data quality and availability for model training and evaluation.
· Work closely with senior team members to understand project requirements and contribute to technical solutions.
· Troubleshoot and debug AI/ML models and applications.
· Stay up-to-date with the latest advancements in AI/ML.
· Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.
· Develop and deploy AI solutions on Google Cloud Platform (GCP).
· Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.
· Utilize Vertex AI for model training, deployment, and management.
· Integrate and leverage Google Gemini for specific AI functionalities.
Qualifications:
· Bachelor’s degree in computer science, Artificial Intelligence, or a related field.
· 3+ years of experience in developing and implementing AI/ML models.
· Strong programming skills in Python.
· Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
· Good understanding of machine learning concepts and techniques.
· Ability to work independently and as part of a team.
· Strong problem-solving skills.
· Good communication skills.
· Experience with Google Cloud Platform (GCP) is preferred.
· Familiarity with Vertex AI is a plus.
- Develop, maintain, and enhance robust backend systems using Python3 and frameworks like Django (mandatory), Flask, and FastAPI (good to have).
- Design, implement, and maintain highly efficient and automated continuous integration and continuous deployment (CI/CD) processes using Jenkins and configuration management with Ansible.
- Elevate our testing culture by architecting and implementing innovative testing strategies, focusing on both unit and integration testing to ensure exceptional code quality and extensive coverage.
- Follow peer-to-peer code reviews and cross-team collaboration to build scalable and reliable solutions.
- Proficiently work with at least one cloud technology, preferably AWS, to deploy and manage applications in the cloud environment.
- Possess knowledge of Nginx, load balancing, and scalability to optimize system performance and reliability.
- Good experience working in distributed micro-service architecture and driving them with crucial requirements like request tracing, debugging critical issues, logging, monitoring, and alerting.
- Work in containerized environments using Docker and Docker Compose, and have experience with AWS ECS for container orchestration.
- Prioritize maintainability and reliability in developing and maintaining software systems, pushing the boundaries of what's possible in our product ecosystem.
- Collaborate effectively within a team, taking initiatives and driving projects forward with minimal micro-management.
- Pave the way for maintainable and reliable codebases by introducing novel approaches and best practices in software development.
Requirements
- Bachelor’s/Master’s degree in computer science.
- Strong teamwork and communication skills, with a proactive approach to project management and task ownership.
- Proven track record as an innovative Python developer with a focus on product engineering.
- Visionary mindset to work in an agile environment, participating in sprint planning, stand-ups, and retrospectives.
Benefits
100% Remote
Insurance
Cogoport Story
Do you prefer to get speeding tickets or parking tickets?
Because at Cogoport we are speeding ahead to do something remarkable for the world. We are trying to solve the Trade Knowledge and Execution Gap, which is currently widening and preventing trade to the tune of $3.4 trillion annually. This Gap has enormous economic as well as human impact and disproportionately hits small and medium businesses globally.
The team at Cogoport is working on developing a new category, the Global Trade Platform, that helps companies discover and connect with appropriate trade partners, optimize shipping and logistics options and costs, and improve cash management and cash flow.
Cogoport is currently in hypergrowth mode. We are proud to have been named an Asia-Pacific High-Growth Company by the Financial Times and an Indian Growth Champion by the Economic Times. We are aiming to reach an annualized revenue of $1 billion (7700 Crores INR) by this summer and are hiring over 500 additional employees. We are currently hiring in Mumbai, Gurgaon, Chennai and Bangalore.
Cogoport Culture: We have two core values at Cogoport—Intrapreneurship and Customer-centricity. If you share these values and are a hard worker who is willing to take risks (and occasionally get a speeding ticket), you can make a huge impact and propel your career in an endless number of directions with Cogoport.
Cogoport Leadership
https://www.linkedin.com/in/purnendushekhar/">https://www.linkedin.com/in/purnendushekhar/
https://www.linkedin.com/in/amitabhshankar/">https://www.linkedin.com/in/amitabhshankar/
Life at Cogoport: It’s rare to be able to join a company that can give you the resources, support and technology you need to break new ground and see your ideas come to life. You’ll be surrounded by some of the smartest engineers and commercial specialists in India and the Asia Pacific Region.
With huge growth and the right entrepreneurial mindset, comes huge opportunities! So, wherever you join us, you’ll be able to dream, deliver better and brighter solutions, and speed ahead with the possibility to propel your career forward in endless directions as our company continues to grow and expand.
For more insights about the company: https://cogoport.com/about">https://cogoport.com/about
Why Cogoport?
International Trade can be complicated at times and every day brings new challenges and opportunities to learn. When we simplify international trade, it empowers and affects every human being on the face of this earth. Seven billion people - one common problem.
As a part of the Talent team at Cogoport, you will get an opportunity to be a part of an industry-wide revolution in the world of shipping and logistics by collaborating with other brilliant minds to resolve real world on-ground challenges. You will have a direct impact on the revenue and profitability growth for the organization.
Areas of Impact for you
- Hands-on management with deep-dive into the details of software design, implementation and debugging.
- Guide your teams in developing roadmaps and systems to drive product growth, then identify, plan, and execute projects to support that growth.Manage multiple projects across a wide breadth of technologies, coordinate dependencies, and interactions with the internal teams and external partners.
- Collaborate with stakeholders from across functions to keep the development team in sync with all functions and overall business objectives.
- Develop large multi-tenant applications in Rails.
- Understand Rails best practices and religiously introduce those to codebase.
- Set up, create and manage strong best practices/architecture to ensure reliable, secure, bug-free, and performant software is released on-time.
Desirable Skills and Experience
- Loves coding.
- 4-6 years of experience managing technology teams.
- Demonstrated ability to build complex scalable technology products.
- Should have prior experience of working with ROR, React, PostgreSQL and cloud infra.
- Understanding scaling strategies for a high-traffic Rails applications.
- Understanding O-Auth2 or JWT (Json Web Token) authentication mechanisms.
- Experience in using ActiveRecordSerialize, RSpec and active interaction.Engin
- Knowledge about Asynchronous Networking in Ruby; Refactoring ActiveRecord Models; Background Job processing using Redis and Sidekiq; Writing automated Deployment Scripts using Capistrano, Ansible etc.
- Expertise in Data Science and Machine Learning is a plus.
- Expertise in Jenkins, Kubernetes, dockers and cloud technology is a plus.
Cogoport is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and respected at work.
Experience: 5+ Years
An Architect is a hands-on, talented, innovative, and practical individual with functional experience to design, implement and support the delivery of core products and product components.
- Capable of working under minimal direction and exercising considerable latitude, they will provide technical expertise in developing solutions to complex software engineering problems, which require frequent use of ingenuity and creativity.
- Experienced in designing application framework solutions, performing architectural analysis, and identifying issues and provide solutions for the business problems.
- Sound functional knowledge of application architecture service architecture, code modularity, data synchronisation, customisable workflow management, partner application integration and API developer frameworks.
- Responsibilities:
- Lead the design and development of new architecture and major functional upgrades for the most advanced capabilities
- Provide technical guidance and mentorship to engineers, designers, and developers.
- Engage cross-organizational teams such as Product Management, Integrations, Services, Support, and Operations, to ensure the success of overall software development, implementation, and deployment.
- Requirements:
Ideal candidate should have
- 7+ years of system implementation experience
- Experience with any of the following languages like Java / Nodejs / ROR / Python
- Expertise in micro service / Data modelling / AWS / Messaging
- Expertise in building scalable & reliable systems
- Good Experience in working with technologies like AWS, Redis,
- Experience in messaging systems like SQS/RabbitMQ
- Good knowledge of caching, Databases, distributed systems.
- Strong problem solving and analytical skills
- Good experience with Devops
We are actively seeking software development engineers who are interested in designing robust trading systems and refining programs to efficiently manage various types of financial market data that facilitate our quantitative investment research. By designing and improving the firm's internal applications, the SDE will play a key role in expanding the firm's trading capabilities.
Responsibilities:
- Management & scaling up existing infrastructure for high-frequency market data capture.
- Develop a scalable and consistent data handling infrastructure for the above data to facilitate efficient backtesting of quantitative investment strategies.
- Perform R& D; to build a software platform in Python for backtesting various kind of investment strategies using the above databases.
- This will involve studying the strategy development process and performance evaluation metrics.
- Develop autopilot risk-management systems to monitor live performance of the Portfolio.
- Improve the existing algorithms to achieve better execution price and reduce the latency.
Requirements:
Our ideal candidate would have graduated with a degree in computer science from a top university with 1-3 years industry experience, along with:
- High Level of proficiency in Python and good knowledge of Matlab/C++/C#.
- Past experience in dealing with large datasets and Knowledge of database administration and network programming will be a plus.
- Well-versed in software engineering principles, frameworks and technologies.
- The ability to manage multiple tasks in a fast-paced environment.
- Excellent analytical and problem solving abilities.
- A keen interest in learning about the financial markets.
Capable of working under minimal direction and exercising considerable latitude, they will provide technical expertise in developing solutions to complex software engineering problems, which require
frequent use of ingenuity and creativity.
Experienced in designing application framework solutions, performing architectural analysis, and identifying issues and provide solutions for the business problems.
Sound functional knowledge of application architecture service architecture, code modularity, data synchronisation, customisable workflow management, partner application integration and API
developer frameworks.
Responsibilities:
Lead the design and development of new architecture and major functional upgrades for the most advanced capabilities
Provide technical guidance and mentorship to engineers, designers, and developers.
Engage cross-organizational teams such as Product Management, Integrations, Services, Support, and Operations, to ensure the success of overall software development, implementation, and
deployment.
Requirements:
Ideal candidate should have
7+ years of system implementation experience
Experience with any of the following languages like Java / Nodejs / ROR / Python
Expertise in micro service / Data modelling / AWS / Messaging
Expertise in building scalable & reliable systems
Good Experience in working with technologies like AWS, Redis,
Experience in messaging systems like SQS/RabbitMQ
Good knowledge of caching, Databases, distributed systems.
Strong problem solving and analytical skills
Good experience with Devops
reach me
riya attherateof cielhr dot com
96 200 399 80
Roles & Responsibilities -
This position is a hands-on Python / SQL software developer role, candidate needs to have exposure to electronic trading business, proficient in python and experience building systems for data processing. The candidate will join the front office development team
- Build and maintain infrastructure for data retrieval, processing and storage
- Build strong working relationships with international teams
- Be willing and able to adapt to changes in priorities
- Ability to learn and apply new technologies to deliver added business value
- Maintain a strong focus on quality
Skill Sets & Prerequisites -
- Proficient in Python / SQL
- Good understanding of data base management systems
- Experience developing and maintaining systems that handle large amounts of data
- Understanding of Electronic Trading Systems
- Attention to detail and code quality
- Excellent problem solving and analytical skills in a high-pressure environment
- Strong communication skills and an ability to convey ideas and concepts with clarity
Nice to have: python
Must frameworks and technologies: Springboot, kafka, MQTT, docker/kubernetes, REST APIs
Persistence layer: MongoDB, Elastic Search, Any GraphDB (Neo4j/Arango), SQL, HBase
Must have: Exposure in large scale architecture (Concept of queues, micro services, functional programming)
Must have: Strong Data structure and design principles
Expert in developing Node.js applications, Strong understanding of NPM and modular application development skills building, Proficiency and hands-on experience with Node.js, Express, Sockets, MongoDB/Elasticsearch/Redis/MySQL, Apache Kafka/Google PubSub, Experience of working in MEAN Stack is a plus)






