Principal Architect :

As a Principal Architect, you will own the integrity and strength of the solutions recommended, leveraging the transformative power of artificial intelligence to elevate our capabilities.

You'll act as a trusted advisor to our team and clients, utilizing your expertise in AI and machine learning to craft intelligent data-driven solutions.

As an effective mentor, you'll inspire and guide other professionals working alongside you, fostering a culture of continuous learning and innovation.

Your deep understanding of Python, AWS, and full-stack development will be crucial, but just as important are your top-notch people skills.

These will enable you to articulate complex AI-driven ideas and solutions to stakeholders, gaining their trust and collaboration to transform your visionary concepts into successful, impactful solutions

Responsibilities include :

- AI-Driven Innovation and Presales POCs : Collaborate with other Tech COE members to develop AI-enhanced Proof of Concepts (POCs) that support innovation and presales functions, leveraging machine learning and advanced analytics.

- Intelligent Product Architecture : Architect, design, and support the product architecture for the Accel API platform, integrating AI algorithms and predictive models to enhance performance and scalability.

- Lead the Tech COE function and foster collaboration among members to drive AI adoption.

- AI-Infused Solutions Architecture : Work with business stakeholders and other parties to develop solution architectures for various projects, incorporating AI and machine learning to optimize business processes and decision-making.

- Client Interfacing with AI Insights : Deep dive into client platforms to troubleshoot issues and provide AI-powered guidance.

- Act as a trusted advisor to clients on emerging AI technologies and trends, offering strategic insights and recommendations.

- Incorporating AI throughout these responsibilities ensures innovative solutions, optimized architectures, and data-driven decision-making for both internal teams and clients.

- Provide consultative guidance and expertise to clients and internal stakeholders on AI and digital solution strategies.

Required Skills :

- Overall 12-15 years of experience in software development, with at least 7 years as a Solutions Architect or Principal Architect.

- Solid experience in building backend solutions utilizing cloud technologies, particularly Python, AWS, and full-stack development.

- Deep development experience coding in Python with some exposure to PHP and Java.

- Must have Python backend development experience (Python Django, Flask).

- Proven expertise in deploying AI models and services on AWS, including ECR, Kubernetes, Docker, NoSQL, Redshift, and AWS Lambda.

- Experience in developing web applications and integrating mobile application technologies.

- Proven experience in designing and implementing microservices and REST APIs.

- Expertise in RDBMS (e.g., MySQL, PostgreSQL) and NoSQL (e.g., Couchbase, DynamoDB).

- Expert knowledge in MVC frameworks (e.g., Laravel, Django).

- Deep understanding of agile principles and methodologies.

- Experience in AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).

- Hands-on experience in data preprocessing, feature engineering, and model evaluation.

- Proficiency in deploying AI/ML models in a cloud environment (preferably AWS).

- Knowledge of AI-driven analytics and data visualization tools.

- Understanding of NLP, computer vision, or other AI subfields is a plus.

- Excellent communication skills, personable demeanor, and leadership qualities.

- Ability to collaborate effectively with cross-functional teams.

- Strong problem-solving skills and a proactive approach to addressing challenges