Principal AI Architect
Principal AI Architect
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Job Description
Position: Principal AI Architect
Seniority: Director
Location: Santa Clara CA (OR) New Jersey
Mode of Hire: Full time
Description & Requirements
Position Summary
The Principal AI Architect is responsible for leading the design and implementation of advanced AI solutions and strategic architecture. Working closely with technology leaders from across our global client community you will be their senior Trusted Advisor for their AIenabled transformation journey
This role demands deep understanding of AI and related technologies running in Edge onprem and Public Cloud environments. Acting at the forefront of our industry you will be fully conversant with Generative AI and its impact at both the individual employee and strategic organisational level.
The ideal candidate will be an established thoughtleader with solid architectural and engineering credentials. Working ahead of industry trends deeply passionate about technologyenabled business transformation and demonstrating a strong innovationled posture. As a thought leader you will interact frequently with CxO level clients AI industry leaders provide expert opinions..
Key Responsibilities
Technical & Engineering Leadership
- Design comprehensive AI solution and technology architecture integrating latest AI technology developments into worldclass solutions.
- Lead highlevel architectural discussions with clients providing expert guidance on best practices for AI implementations across AI PC Edge Data Centre and Public Cloud environments.
- Ensure solutions align with modern best practices across the full spectrum of platforms and environments. Deep understanding across GPU/NPU Cognitive Infrastructure Application and Copilot/agent domains.
- Contribute thought leadership in the AI & Cloud domains with a deep understanding of open source technologies (e.g. Kubernetes OPEA) and partner technologies.
- Collaborate on joint technical projects with global partners including Google Microsoft AWS NVIDIA IBM Red Hat Intel and Dell.
Service Delivery & Innovation
- Architect innovative AI solutions from ideation to MVP rapidly enabling genuine business value.
- Optimize AI and cloud architectures to meet client requirements balancing efficiency accuracy and effectiveness.
- Assess and review existing complex solutions and recommend architectural improvements to transform applications with latest AI technologies.
- Drive the adoption of cuttingedge GenAI technologies spearheading initiatives that push the boundaries of AI integration across the full spectrum of environments.
Thought Leadership and Client Engagement
- Provide expert architectural and strategy guidance to clients on incorporating Generative AI into their business and technology landscape.
- Conduct workshops briefings and strategic dialogues to educate clients on AI benefits and applications establishing strong trustbased relationships.
- Act as a trusted advisor contributing to technical projects with a strong focus on technical excellence and ontime delivery.
- Author whitepapers blogs and speak at industry events maintaining a visible presence as a thought leader in AI and associated technologies.
Collaboration and Customer Engagement
- Engage with multiple customers simultaneously providing highimpact consultative relationships.
- Work closely with internal teams and global partners to ensure seamless collaboration and knowledge sharing across projects.
- Maintain a handson technical credibility staying ahead of industry trends and mentoring others in the organization.
Mandatory Skills & Experience
- Experience:
- 10 years architecture design
- 7 years in software engineering.
- Technologies:
- Professionallevel expertise in Public Cloud environments (AWS Azure Google Cloud).
- Demonstrable coding proficiency with Python Java or Go languages.
- AI Expertise:
- Advanced machine learning algorithms GenAI models (e.g. GPT BERT DALLE GEMINI) NLP techniques.
- Working familiarity with Copilot solutions in both software engineering and office productivity domains.
- Communication: Exemplary verbal and written communication skills.
- Project Methodologies: Agile and Scrum project management.
Desired Skills & Experience
- Knowledge of GenAI operations (LLMOps) experience Governing AI models in production environments.
- Proficiency in data engineering for AI including data preprocessing feature engineering and pipeline creation.
- Expertise in AI model finetuning and evaluation with a focus on improving performance for specialized tasks.
- Copilot design engineering and extensions.
- Knowledgeable about Responsible AI including governance and ethics. Bias mitigation with experience in implementing strategies to ensure fair and unbiased AI solutions.
- Deep Learning Frameworks (TensorFlow PyTorch)
- Innovation and Emerging Technology Trends
- Strategic AI Vision and Road mapping
- Enthusiastic about working in a fastpaced environment using the latest technologies and passionate
- about dynamic and highenergy Lab culture.
Verifiable Certification
- Recognized Professional certification from Google Microsoft or AWS in an AI and/or Cloudrelated domain.
Soft Skills and Behavioural Competencies
Exemplary communication and leadership skills capable of inspiring teams and making strategic decisions that align with business goals. Demonstrates a strong customer orientation innovative problemsolving abilities and effective crosscultural collaboration. Expert at driving organizational change and fostering a culture of innovationEmployment Type
Full Time
