Acuity Knowledge Partners is a leading provider of high-value research, analytics and business intelligence to the financial services sector. The company supports over 500 financial institutions and consulting companies through a team of over 2,500 subject matter experts who work as an extension of the clients’ teams based out of various global delivery centers.
We EMPOWER our clients to drive revenues higher. We INNOVATE using our proprietary technology and automation solutions. We enable our clients to TRANSFORM their operating model and cost base.
Job Purpose
We are seeking a seasoned Platform Architect to spearhead the design and development of a cuttingedge 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
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 in Python based frameworks is a must. Experience in JAVA ecosystem also preferred.
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.
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.
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.
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 lowcode platforms.
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.
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.
Behavioral Competencies:
Exceptional communication skills to translate complex technical concepts into actionable business solutions.
Leadership and mentoring capabilities to nurture cross-functional teams.
Proven track record in collaborating with stakeholders and influencing technology decisions at the executive level.
Architect ( at least 2 projects),Building Platforms, AI Projects, Microsoft Technologies/ Python / Java.