AI System Architect – Financial/Equity/Wealth Management  (WFH)

by | Jan 28, 2025

Aimleap

India (Remote)

Posted on Jan 28, 2025

AIMLEAP is Hiring:

AI System Architect – Financial/Equity/Wealth Management (WFH)

Experience: 7+ years  
Location: Work from Home/Bangalore  
Mode of engagement: Full time / Part Time 
No of positions: 2  
Educational qualifications: Engineering/CS/IT  
Industry: IT-ITES  
Salary: 15 LPA- 40 LPA INR 
Notice Period: Immediate  

Job Description:

  1. Design the architecture of a cutting-edge self-learning AI-based stock recommendation system
  2. Expertise in AI/ML technologies, system design, and financial domain knowledge (preferred).
  3. Take ownership of the architectural blueprint, ensuring scalability, security, and real-time processing capabilities for delivering high-performance solutions.

      RESPONSIBILITIES:

      System Architecture Design: 

      • Define the overall architecture for a self-learning AI-based stock recommendation system, including data pipelines, model training, deployment, and monitoring. 
      • Ensure the system can process real-time market data, perform predictions, and provide actionable insights at scale. 


        Technology Roadmap and Strategy:
         

        • Develop a technology roadmap aligned with business objectives, focusing on AI/ML, cloud computing, and big data. 
        • Stay updated on emerging technologies and recommend their integration into the system. 


          Data Architecture and Integration:
           

          • Design robust data pipelines to ingest, clean, and process large volumes of structured and unstructured financial data. 
          • Architect seamless integration with APIs, data feeds, and external sources such as market data providers and news outlets. 


            AI/ML Frameworks:
             

            • Architect the AI/ML model lifecycle, including data preprocessing, training, validation, deployment, and continuous learning. 
            • Ensure modularity and reusability of components to enable rapid experimentation with new models. 


              Scalability and Performance:
               

              • Architect systems for high availability and low-latency performance to handle real-time stock market dynamics. 
              • Implement distributed computing and parallel processing techniques to scale model training and inference. 


                Security and Compliance:
                 

                • Incorporate robust security measures for data protection and ensure compliance with financial regulations. 
                • Design systems to prevent data breaches, model biases, and unauthorized access. 


                  Collaboration and Leadership:
                   

                  • Work closely with product managers, data scientists, and engineering teams to translate business requirements into technical solutions. 
                  • Provide technical leadership and mentorship to ensure the architectural vision is effectively implemented. 


                    Monitoring and Optimization:
                     

                    • Define monitoring frameworks for system health, performance, and model accuracy. 
                    • Architect self-healing mechanisms and optimization strategies for model and system performance. 


                      QUALIFICATIONS:

                      1. Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields.
                      2. Experience: 7+ years in software/system architecture, with 5+ years in AI/ML system design.
                        Experience architecting solutions for financial applications or similar high-performance systems.
                      3. Technical Expertise: Proficient in designing AI/ML systems using frameworks such as TensorFlow, PyTorch, Scikit-learn or similar.
                        Expertise in cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
                        Strong understanding of big data technologies like Hadoop, Spark, and Kafka.
                        Proficiency in designing real-time systems with low-latency processing capabilities.
                        Familiarity with APIs, webhooks, and tools for integrating financial data sources.
                      4. Architectural Skills: Deep understanding of microservices, event-driven architectures, and distributed systems.
                        Experience designing fault-tolerant, scalable, and secure systems for high-availability environments.
                      5. Domain Knowledge: Understanding of financial markets, trading algorithms, portfolio optimization, and risk management. Familiarity with regulatory requirements in the financial domain (e.g., GDPR, SEC regulations).

                        About Us:

                        AIMLEAP is an ISO 9001:2015 and ISO/IEC 27001:2013 certified global technology consulting and service provider offering Digital IT, AI-augmented Data Solutions, Automation, and Research & Analytics Services.

                        AIMLEAP has been recognized as ‘The Great Place to Work®’. With focus on AI and automation-first approach, our services include end-to-end IT application management, Mobile App Development, Data Management, Data Mining Services, Web Data Scraping, Self-serving BI reporting solutions, Digital Marketing, and Analytics solutions.

                        We started in 2012 and successfully delivered projects in IT & digital transformation, automation driven data solutions, and digital marketing for more than 750 fast-growing companies in the USA, Europe, New Zealand, Australia, Canada; and more.

                        – An ISO 9001:2015 and ISO/IEC 27001:2013 certified
                        – Served 750+ customers
                        – 12+ Years of industry experience
                        – 98% Client Retention
                        – Great Place to Work® Certified
                        – Global Delivery Centers in the USA, Canada, India & Australia.

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