Website:
acuityanalytics.com
Job details:
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
- 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
- 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
Research Mindset & Innovation: 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
Python, React, Microservices architecture, Docker, Kubernetes, Devops
Data Architecture: In-depth knowledge of relational, NoSQL, and vector databases
If required, ready to work as individual contributor.
Generative AI & LLM: Hands-on experience with generative AI and integration of GenAi platforms / services
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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