Product Architect
Tata Consultancy Services
New York, NY
See who Tata Consultancy Services has hired for this role
Pay found in job post
Retrieved from the description.
Base pay range
Key Responsibilities
- Design and architect complex manufacturing solutions that leverage cloud technologies, Generative AI, IoT, and other emerging technologies alongside traditional methods.
- Collaborate closely with internal teams, including domain experts, account managers, and development teams, to ensure the alignment of product architecture with business goals and customer needs.
- Act as a technical liaison between the company and our clients, providing expert guidance and building trust through innovative solutions.
- Drive the adoption of best practices in architecture methodologies and ensure compliance with security standards.
- Stay abreast of industry trends and technological advancements to incorporate into solution design and offerings.
- Lead and mentor a team of developers and junior architects, fostering an environment of innovation and continuous improvement.
- Engage with stakeholders across the company to gather requirements, provide updates, and deliver on project objectives.
- Prepare and present high-level product strategies and roadmaps to leadership and partners.
- Bachelor’s or Master’s degree in computer science, Engineering, or a related field.
- Experience in architecture roles with a focus on manufacturing and industrial applications.
- Strong background in cloud technologies (AWS, Azure, Google Cloud), GPT/LLM, Deep Learning, and Machine Learning and understanding how to leverage them in manufacturing contexts.
- Proficient in traditional and modern architectural patterns, software development, and system integration.
- Demonstrated ability to think strategically and integrate a broad range of ideas regarding product development.
- Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams and manage stakeholder expectations.
- Proven leadership abilities and experience in working with diverse and globally distributed teams.
- Experience with Generative, DL/ML/AI, IoT, and data analytics in a manufacturing environment.
- Certifications in cloud architecture (AWS Certified Solutions Architect, Google Cloud Professional Architect, etc.).
- Prior experience in agile development environments.
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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Engineering and Information Technology -
Industries
IT Services and IT Consulting
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