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Senior Technical Architect

2 months ago


Gurugram, India Markovate Full time

Job Role: Senior Technical Architect

Experience: 15+ years


Job Summary:


We are looking for a highly skilled and experienced Senior Technical Architect with over 15 years of expertise in software development, architecture, and strategic technology leadership, including a deep focus on AI technologies. The ideal candidate will have a strong background in AI/ML frameworks, data engineering, and cloud-based AI solutions, alongside a proven track record in managing large-scale, complex projects. This role involves overseeing multiple architecture teams, driving innovation, ensuring technical excellence across AI and other projects, and playing a key role in shaping the company's technology strategy.


Job Responsibilities:


● Lead and oversee the architectural design and development of large-scale, complex software solutions, with a strong emphasis on AI-driven projects across multiple teams.

● Serve as the primary technical authority, providing strategic guidance and technical direction in AI/ML solutions, data engineering, and broader software architecture.

● Collaborate with senior leadership and clients to align technology strategies, particularly AI initiatives, with business goals and client needs.

● Drive the adoption of cutting-edge AI technologies, tools, and best practices, ensuring that the company remains at the forefront of AI innovation.

● Lead efforts in evaluating, selecting, and implementing new AI technologies, machine learning frameworks, and processes to enhance productivity and product quality.

● Ensure architectural consistency, scalability, and security across all AI and software projects, conducting regular reviews and audits to maintain high standards.

● Mentor and develop junior and mid-level architects, particularly in AI and data-related areas, fostering a culture of continuous learning and technical excellence.

● Manage and resolve complex technical challenges, especially those related to AI/ML, providing solutions that balance innovation with practical considerations.

● Communicate effectively with executive stakeholders, providing insights, updates, and recommendations on AI initiatives and broader technology projects.

● Stay ahead of emerging AI and software technology trends, guiding the organization in adopting new approaches that enhance competitiveness and innovation.


Candidate Required Skills:


●Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

●Experience: 15+ years in software development and architecture, with at least 8 years in a senior or lead architect role, including significant experience in AI technologies.

●Client Management: Extensive experience in managing client relationships and delivering high-impact AI and technical solutions.

●Technical Expertise: Deep knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch), data engineering, and modern tech stacks including cloud platforms (AWS, Azure, Google Cloud), microservices, containerization (Docker, Kubernetes), and DevOps practices.

●Programming Languages: Proficiency in languages such as Python, Java, C#, JavaScript, or similar, with a strong understanding of AI algorithms, data structures, and software design patterns.

●Leadership: Proven ability to lead and mentor architecture teams, with a strong focus on collaboration, innovation, and excellence in AI and software development.

●Problem-solving: Exceptional analytical and strategic thinking skills, with the ability to address complex technical issues, particularly in AI/ML, and guide teams to effective solutions.

●Communication: Strong communication and interpersonal skills, with the ability to influence and collaborate with senior leadership and stakeholders.

●Agile Methodologies: Expertise in agile development practices and the ability to lead teams in an agile environment, with experience in AI project lifecycle management.

●Specialized Knowledge: In-depth understanding of AI, machine learning, data science, and cybersecurity best practices.

●Industry Awareness: Active engagement with emerging AI technologies and industry trends to drive innovation and maintain a competitive edge.