Job Summary

The team will:

• Design and build agentic AI applications supporting workflow orchestration and automation
• Contribute to architecture, integration patterns, and API-driven solutions
• Work closely with engineering, data science, and product teams
• Support end-to-end lifecycle (POC → production → optimisation)
• Ensure alignment with security, resilience, and Responsible AI principles

Key Skills Required

• Strong experience in Python (or similar) and modern software delivery lifecycle
• Hands-on experience with AI/agentic workflows, orchestration frameworks, or automation platforms
• Solid understanding of application architecture and system integration
• Experience with GCP and modern engineering practices (CI/CD, observability, reliability)
• Ability to communicate effectively with both technical and non-technical stakeholders

Desirable:

• Experience with LLMs and AI platforms
• Exposure to responsible AI and governance practices
• Background in large enterprise / regulated environments
• Prior mentoring or technical leadership experience

Response Expectations

Please include the following in your proposal:

1. Understanding of Requirement

• Your interpretation of the scope and priorities

2. Proposed Approach

• Delivery model, team structure, timelines, and onboarding plan

3. Team Profiles

• CVs and relevant experience of proposed resources

4. Experience & Credentials

• Relevant case studies in AI / agentic / enterprise delivery

Key Responsibilities

1. Design, develop, and maintain google bigquery data pipelines for efficient data processing.
2. Utilize sql for querying and analyzing large datasets in google bigquery.
3. Develop and implement python scripts for automation and data manipulation tasks.
4. Create and optimize data processing pipelines using google dataflow.
5. Collaborate with stakeholders to understand data modeling requirements and utilize ca erwin data modeler for effective data modeling.
6. Monitor data quality, troubleshoot issues, and ensure data integrity across systems.
7. Stay updated with the latest technological advancements in data analytics and contribute to process improvements.

Skill Requirements

1. Proficiency in google bigquery for data warehousing and processing.
2. Strong command over sql for querying and analyzing datasets.
3. Advanced knowledge of python programming for data manipulation and automation.
4. Experience with google dataflow for building and optimizing data pipelines.
5. Familiarity with ca erwin data modeler for effective data modeling and database design.
6. Strong analytical and problem-solving skills to handle complex data related challenges.
7. Excellent communication skills to collaborate with cross functional teams and stakeholders effectively.
8. Ability to work in a fast paced environment and manage multiple priorities simultaneously.

Other Requirements

1.Relevant certifications in Google BigQuery, SQL, Python, Google Dataflow, or CA Erwin Data Modeler would be a plus.