Chief Architect

Jobgether; United States; Remote; USD 63,000 - 95,000; Full time

Benefits offered by this job

Remote-first in India

Senior leadership exposure

Professional growth

Innovation-focused culture

Global collaboration

Job summary

Jobgether is seeking a veteran software architect to lead AI-driven transformation across our engineering and product teams. You will shape architecture, advocate for modern cloud-native approaches, and partner with executives to align tech with business goals.

The role emphasizes security, IAM, Zero Trust, and scalable data pipelines, with mentorship across teams and opportunities to influence enterprise IT strategies on a global scale.

Qualifications

• 15+ years in software engineering and architecture, incl. 4+ years AI integrations.
• IAM, DaaS, Zero Trust, endpoint management or similar enterprise identity platforms.

Responsibilities

• Evaluate existing platform architecture and design AI-enabled solutions.
• Champion AI integration across engineering and product teams.
• Translate complex tech developments into actionable architectural strategies and roadmaps.
• Design scalable cloud architectures and data pipelines for large workloads and global traffic.
• Guide IAM, Zero Trust, and endpoint management security capabilities.

Skills

AI integration

Cloud architecture

Security governance

Leadership mentoring

Executive communication

Programming: Python/Go/Rust

Docker

Kubernetes

Job description

Accountabilities

• Architecture and innovation: Evaluate existing platform architecture, identify opportunities for transformation, and design innovative solutions that incorporate emerging AI technologies and modern engineering practices.
• AI strategy and adoption: Champion AI integration across engineering and product development, challenge conventional approaches, and establish a clear technical vision aligned with business objectives.
• Strategic technical leadership: Partner with engineering executives and senior leadership to translate complex technological developments into actionable architectural strategies and product roadmaps.
• Scalability and performance: Design and oversee distributed cloud architectures and data pipelines capable of supporting large-scale workloads, high-volume identity operations, and global traffic while maintaining security and reliability.
• Identity and security architecture: Guide the evolution of identity and access management, directory services, Zero Trust, and endpoint management capabilities, ensuring robust security and dependable access controls.
• Technical mentorship: Coach engineers and engineering managers, encourage knowledge sharing, and elevate technical standards and problem‑solving capabilities throughout the organization.
• Competitive intelligence: Analyze competing technologies, monitor developments in AI and identity management, anticipate market trends, and translate findings into architectural advantages.
• Agile architectural evolution: Continuously assess new AI models, frameworks, cloud technologies, and security requirements, adapting architectural decisions as the technology landscape evolves.
• Proofs of concept and technical validation: Contribute hands‑on coding and experimentation where appropriate to validate new concepts, accelerate development, and demonstrate the feasibility of architectural improvements.
• Security, privacy, and governance: Promote secure and responsible AI adoption by incorporating data protection, privacy, ethical considerations, and regulatory requirements into architectural decisions.
• Operational reliability: Support dependable production systems and participate in assigned on‑call rotations to help ensure timely responses to operational alerts and incidents.

Requirements

• Professional experience: At least 15 years of experience in software engineering and architecture, including a minimum of four years focused on deep AI integrations.
• Identity domain expertise: Demonstrated experience in Identity and Access Management (IAM), Directory-as-a-Service (DaaS), Zero Trust security, endpoint management, or comparable enterprise identity platforms.
• AI and architectural expertise: Strong knowledge of AI integration strategies, modern software architecture, distributed systems, and scalable cloud-based platforms.
• Large-scale systems: A proven track record of designing, building, and maintaining distributed architectures and data pipelines that operate reliably under substantial workloads.
• Technical adaptability: A demonstrated ability to challenge established practices, experiment with emerging technologies, and rapidly adapt architectural strategies to evolving business and technical requirements.
• Leadership and mentorship: Extensive experience guiding senior technical professionals, mentoring engineers, influencing engineering managers, and improving technical capabilities across teams.
• Executive communication: Exceptional communication skills, with the ability to explain complex technical concepts clearly and provide actionable recommendations to executive stakeholders.
• Analytical and strategic thinking: Strong ability to evaluate competing products, identify industry trends, assess technical trade-offs, and translate market intelligence into effective architectural decisions.
• Security and privacy knowledge: Familiarity with data protection regulations such as GDPR and CCPA, AI ethics, and secure system design is highly desirable.
• Programming skills: Hands‑on proficiency in a modern programming language such as Python, Go, Rust, or a comparable language, particularly for rapid prototyping and proof‑of‑concept development, is preferred.
• Cloud-native technologies: Advanced knowledge of AWS, Google Cloud Platform, or Microsoft Azure, along with containerization and orchestration technologies such as Docker and Kubernetes, is an advantage.
• Industry engagement: Experience with technical publications, conference presentations, open‑source contributions, or public advocacy for AI and emerging technologies is a plus.
• High‑growth experience: Previous experience working in a fast‑growing technology company, particularly in an environment characterized by rapid innovation and changing priorities, is beneficial.
• Communication requirements: Fluency in written and spoken English is required, as the organization operates across multiple countries and conducts its recruitment process primarily in English.
• Location and availability: Candidates must reside in India and be authorized to work there. Willingness to participate in scheduled on‑call rotations is also required.

Benefits

• Remote-first work environment: Work remotely from within India, with flexibility in where you work.
• Strategic leadership exposure: Collaborate directly with senior engineering leadership and contribute to major architectural and product decisions.
• Meaningful technical impact: Shape AI-driven innovation in identity management, access security, and enterprise IT infrastructure.
• Professional growth: Work with experienced professionals across a globally distributed organization and continuously develop your technical and leadership expertise.
• Innovation-focused culture: Opportunities to experiment with emerging technologies, introduce new ideas, and influence engineering best practices.
• Collaborative environment: Join an international team that values knowledge sharing, inclusion, and meaningful professional relationships.
• Career development opportunities: Expand your influence across architecture, AI strategy, cloud infrastructure, and enterprise security.
• Competitive employment opportunity: Compensation and any additional benefits are determined by the hiring company; the original posting does not specify salary, equity, healthcare coverage, or paid leave details.