Lead design and architecture of scalable AI/ML platforms, collaborate with stakeholders, evaluate AI technologies, implement infrastructure (cloud, containers, orchestration), ensure production reliability, governance, and optimization, mentor teams, and communicate architecture decisions.
Greetings Everyone
Who are we?
For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o.
What will you do? What are we looking for?
Job Requisition for AI-ML Platform Tech Lead & Arch
Location: Charlotte NC
Key Responsibilities:
- Design and architect scalable AI platforms to develop, deploy AI solutions leveraging ML techniques and Deep Learning Techniques.
- Drive Joint Architecture Design to collaborating with business stakeholders, data scientists, engineering teams, product, and other key partners to gather functional, non-functional requirements for solving AI use case on the AI Platform
- Evaluate emerging technologies and tools in AI area and do fitment analysis to the Enterprise AI Platform and capabilities strategy.
- Define and implement AI/ML architecture best practices, frameworks, and standards.
- Lead AI/ML infrastructure setup, including cloud services selection, data pipelines, and model deployment.
- Ensure robustness, reliability, and scalability of AI/ML solutions in production environments.
- Design and implement data governance, security, and compliance measures for AI/ML platforms.
- Optimize AI/ML workflows for performance, cost efficiency, and resource utilization.
- Provide technical leadership and mentorship to AI/ML development teams.
- Communicate AI/ML architecture decisions and strategies to stakeholders and executives.
Key Requirements:
- Proven experience as an AI/ML platform architect
- Deep understanding of ML algorithms, Deep Learning architechture, models, and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Expertise in cloud platforms (e.g., GCP, Azure) and their AI services.
- Strong knowledge of Model development life cycle, software engineering principles, data engineering principles
- Experience with containerization and orchestration tools onprem and cloud (e.g., AKS, GKE, OpenShift Container Platform, Docker, Kubernetes) for deploying AI/ML models.
- Ability to design and optimize distributed computing systems for AI/ML workloads.
- Familiarity with DevOps practices, CI/CD pipelines, and automation tools in AI-ML contexts.
- Excellent problem-solving skills and ability to address complex technical challenges.
- Effective communication skills to collaborate with cross-functional teams and stakeholders.
What will make people successful in the team:
- Superior tech skills with coding to design to presentation
- On the feet thinking
- Outstanding communication skills
- 15 day rampup time
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
