Associate Director, Tech Architecture

Pune, India

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TIAA

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Expert - Tech Architecture - IN
The role work as technical/solution/enterprise architects and design a complete and complex framework, system or product. They define processes for technical platforms, system specifications, input/output and working parameters for hardware and/or software compatibility.

Key Responsibilities and Duties
  • They also conceive system interfaces and business application prototypes.
  • They identify, analyze and resolve system design weaknesses.
  • They influence future product development by contributing to the framework (architecture) used across multiple products or systems.
  • These professional groups provide multi-layered technical expertise for next generation initiatives.
Educational Requirements
  • University (Degree) Preferred
Work Experience
  • 5+ Years Required; 7+ Years Preferred
Physical Requirements
  • Physical Requirements: Sedentary Work

Career Level
9IC

ROLE SUMMARY

Description

We are seeking an experienced Technical Architect to join our Enterprise Architecture team. As a Technical Architect, you will be responsible for designing and implementing technical solutions that meet the company's business needs. You will work closely with stakeholders across the organization to understand business requirements and develop technical architectures that support our strategic initiatives.

Key Duties and Responsibilities

  • Design and implement technical architectures for large-scale enterprise systems, leveraging AWS, Java, and Python technologies.
  • Collaborate with cross-functional teams to understand business requirements and develop technical solutions that meet those needs.
  • Develop and maintain technical architectures that are scalable, secure, and aligned with business objectives.
  • Provide technical guidance and mentorship to junior team members.
  • Participate in the development of the company's technology strategy and roadmap.
  • Stay up to date with the latest trends and advancements in AI/ML, cloud computing, and enterprise architecture.
  • Develop and maintain relationships with key stakeholders across the organization.
  • Participate in the development of technical standards, guidelines, and best practices.

Educational Requirements

  • Bachelor’s degree in computer science, Engineering, Business Administration, or a related field.

Work Experience

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 8+ years of experience in a technical architecture role, with a focus on enterprise architecture.
  • Strong understanding of AWS cloud computing, including AWS Lambda, API Gateway, S3, and cloud based databases like PostgreSQL, Redshift and vector databases like OpenSearch, etc..
  • Proficiency in Java and Python programming languages.
  • Experience with AI/ML development, including traditional AI and GenAI.
  • Strong understanding of enterprise architecture principles and practices.
  • Experience with Agile development methodologies and version control systems such as Git.
  • Excellent communication and interpersonal skills.
  • Ability to work in a fast-paced environment and prioritize multiple projects simultaneously.
  • Strong problem-solving skills and attention to detail.
  • Ability to design AI-powered applications that meet business requirements and user needs. Proficiency in creating solution architectures that incorporate AI components.
  • Model Selection and Evaluation: Knowledge of different machine learning models and techniques for model selection, evaluation, and validation.
  • Skills in data cleaning, transformation, and feature engineering to prepare data for AI model training.
  • Proficiency in integrating AI models and services through APIs, ensuring seamless communication between different application components.
  • Understanding of AI model deployment techniques, including containerization with Docker and orchestration with Kubernetes.
  • Understanding of vector databases, RAG patterns

Nice to Have:

  • Master’s degree in computer science, Engineering, or a related field.
  • Experience with DevOps practices and tools such as Jenkins, Docker, and Kubernetes.
  • Knowledge of containerization and serverless computing.
  • Experience with data analytics and visualization tools such as Tableau or Power BI.
  • Certification in AWS is a plus.
  • AI technology stack evaluation.

Related Skills

Application Programming Interface (API) Development/Integration, Automation, Communication, Consultative Communication, Containerization, DevOps, Enterprise Application Integration, Influence, Organizational Savviness, Problem Solving, Prototyping, Relationship Management, Scalability/Reliability, Software Development Life Cycle, Systems Design/Analysis

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Company Overview

TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space.

 
Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.

We are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status.

Accessibility Support

TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities.

If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team: 

Phone: (800) 842-2755

Email: accessibility.support@tiaa.org

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile APIs Architecture AWS Computer Science Data Analytics DevOps Docker Engineering Feature engineering Generative AI Git Java Jenkins Kubernetes Lambda Machine Learning ML models Model deployment Model training OpenSearch PostgreSQL Power BI Privacy Prototyping Python RAG Redshift SDLC Tableau

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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