Platform Engineer

Job Purpose

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 low-code solutions while ensuring the creation of scalable, reusable components that drive business value in a highly regulated domain.

Required Qualifications & Skills

Education

• Bachelors or Masters 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

• Data Architecture: In-depth knowledge of relational, NoSQL, and vector databases
• Python Frameworks: In-depth knowledge of Python-based frameworks for data analysis and distributed systems
• Generative AI & LLM: Hands-on experience with generative AI and large language models (LLMs) to design intelligent solutions for financial services use cases
• Machine Learning Frameworks: Good to have knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch)
• Microservices & Containers: Solid understanding of microservices architecture and container orchestration (Docker, Kubernetes)
• DevOps Practices: Strong background in DevOps practices and tools (CI/CD, Jenkins, GitOps, etc.)
• Research Mindset & Innovation: Demonstrated ability to adopt a research-oriented approach to incubate, experiment with, and validate emerging technologies and solutions that address complex business challenges
  
  

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
• Ability to conduct Proof of Concepts (POCs) and drive adoption across teams
• Strong capability to handhold and guide teams through LLM-based solution implementations
  
  

Key Responsibilities

• Platform Architecture & Design
• 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
• Data Architecture & Integration
• Define common data models and best practices for integrating vector databases and other modern data storage solutions
• Implement data pipeline solutions in AWS/Azure environments
• Generative AI & LLM Solutions
• Guide the integration of large language models (LLMs) into platform capabilities to enhance automation, decision-making, and user experience
• Leverage LLM technology to address financial services use cases such as investment research, market analysis, and data synthesis
• Conduct proof of concepts (POCs) to validate LLM-based solutions and demonstrate business value
• Handhold and mentor teams through the implementation lifecycle, ensuring successful adoption of LLM technologies
• Collaborate with domain experts and data scientists to design intelligent solutions that maximize the effectiveness of LLM-based approaches
• Low-Code and RPA Knowledge (Good to Have)
• Possess functional knowledge of low-code framework operations
• 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
• 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
• Research & Innovation Incubation
• Adopt a research-oriented mindset to explore and experiment with emerging technologies and methodologies
• Incubate and validate new solutions through structured experimentation and proof of concept initiatives
• Foster a culture of continuous learning and innovation, encouraging teams to explore novel approaches to solving business challenges
• Document learnings and best practices from experimental initiatives to drive organizational knowledge
• 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
• Lead POC initiatives and provide hands-on support to ensure successful implementation and knowledge transfer
  
  

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Acuity Knowledge Partners | 598,674 followers on LinkedIn. Empower. Innovate. Transform. | Acuity Knowledge Partners (Acuity) is a leading provider of bespoke research, analytics and technology so...

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