Who Are We? NewPage is a digital health solutions company. We devote ourselves to advance the quality of life by enhancing the health and optimizing the longevity of people. We do this by, passionately building futuristic technologies for global organizations across healthcare eco-system. We partake at every stage from problem definition, strategy & service design, user research, UX design, and agile software development – utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation. NewPage is recognized by ‘CIO’s Review’ as “ Top 50 Promising Healthcare Solution Providers” and “Great Place to Work Certified (GPTW) 2023 and 2024 What We Offer? We are shaping a company that works smart and grows with agility. We offer you a flexible and remote work environment where you will engage with intelligent colleagues, seamlessly collaborating to develop inventive technologies that solve our clients’ business challenges. As part of our team, you will enjoy an employee-centric culture, supportive peers, work- life balance, generous earnings and opportunities for growth and development. Who we need? 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.
