Director - Platform Architect

1 week ago

Bengaluru, Karnataka, India Acuity Knowledge Partners Full time

We are seeking a seasoned Platform Architect to spearhead the design and development of a cutting-edge Gen AI enabled workflow automation platform tailored for the financial services sector. This role requires a visionary leader with deep expertise in data architecture, vector databases, generative AI (Gen AI), large language models (LLMs), and agent-based frameworks. The ideal candidate will possess knowledge of working in low-code solutions like Microsoft Power Apps and Robotic Process Automation (RPA) tools such as Power Automate/UiPath, while ensuring the creation of scalable, reusable components that drive business value in a highly regulated domain.

Qualifications & Skills

Education:

  • Bachelor's or master's degree in computer science, Engineering, Information Systems, or a related field.

Experience:

  • 12+ years in software architecture, platform engineering, or related areas.
  • Proven track record designing complex, scalable systems within financial services or similarly regulated environments.

Technical Expertise:

  • In-depth knowledge of data architecture, including relational, NoSQL, and vector databases.
  • In depth knowledge of Python based frameworks for data analysis
  • Hands-on experience with generative AI, LLMs, and machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Proficiency with agent-based frameworks and multi-agent system design.
  • Familiarity with low-code platforms such as Microsoft Power Apps and RPA solutions (e.g., Power Automate, UiPath, Automation Anywhere).
  • Solid understanding of microservices and container orchestration (Docker, Kubernetes).
  • Strong background in DevOps practices and tools (CI/CD, Jenkins, GitOps, etc.).

Key Responsibilities

1.Platform Architecture & Design

  • Architect and design an Agentic platform that leverages Gen AI, LLMs, and agent-based frameworks.
  • Develop a scalable, modular, and extensible system architecture to support various financial services products.
  • Ensure compliance with industry regulations, security standards, and data privacy requirements.
  • Knowledge of building distributed systems using Microsoft Technologies / Java / Python must.

2. Data Architecture & Integration

  • Define common data models and best practices for integrating vector databases and other modern data storage solutions.
  • Understanding of Data pipeline solutions in AWS/Azure is preferred.

3. Generative AI & LLM Implementation

  • Lead the integration of large language models into core platform capabilities to enhance automation, decision-making, and user experience.
  • Design AI/ML workflows that address financial services use cases such as risk assessment, customer support, fraud detection, and personalized financial advice.
  • Collaborate with data scientists to refine models for improved accuracy, performance, and compliance.

4. Agent-Based Framework Development

  • Champion the use of agent-based frameworks to orchestrate complex business processes and automated decisioning.
  • Implement multi-agent systems for real-time monitoring and execution of financial transactions.
  • Integrate intelligent agents with external services, third-party APIs, and internal systems to drive business process efficiency.

5. Low-Code and RPA Knowledge

  • Have functional knowledge on the workings of Low code frameworks like Microsoft Power Apps and RPA frameworks like Power Automate/UiPath etc. and other low code/RPA technologies to accelerate solution delivery.
  • Establish best practices for building reusable components and connectors that can be leveraged by various teams.
  • Provide architectural guidance and training to development teams to maximize the impact of low-code platforms.

6. Scalability & Reusability

  • Design and advocate for microservices or serverless architectures, ensuring high availability, reliability, and performance.
  • Develop reusable components, services, and frameworks to standardize development across the organization.
  • Implement CI/CD pipelines, automated testing, and DevOps practices to streamline deployment and maintenance.

7. Stakeholder Collaboration & Leadership

  • Work closely with cross-functional teams, including product managers, security experts, and business stakeholders, to align technology solutions with strategic objectives.
  • Present architectural roadmaps, proofs of concept, and technical recommendations to executive leadership.
  • Mentor and guide junior architects and developers, fostering a culture of innovation, excellence, and collaboration

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