AI Architect

Systems Engineering Services is seeking an AI Architect based in the DMV area for a new Opportunity with SES.

AI Architect

Top 5 Technical Skills:

1. Degree in data science, Artificial Intelligence, Machine Learning, or related field.
2. 8-10 years of active Statistics/Engineering/Machine Learning/AI experience with proven experience as a Solution architect, data scientist, or machine learning engineer, with a focus on GenAI technologies and MLOps practices.
3. Experience with Azure OpenAI, Azure Machine Learning Services, and cloud computing platforms, with a strong emphasis on managing AI deployments at scale
4. Proficiency in programming languages such as R, Python/Pyspark or Scala and hands-on experience with AI frameworks like TensorFlow, PyTorch, and LLMs, chatbots, vector DBs and RAG based architecture.
5. Understanding of MLOps concepts, including model versioning, automated pipelines, monitoring tools, and deployment strategies.
6. Excellent problem-solving skills, analytical thinking, and the ability to communicate technical concepts effectively to diverse stakeholders.
7. Certifications in AI, machine learning, or GenAI platforms are preferred.

Top 3 Soft Skills:

• Solution Design: Design end-to-end AI solutions that address specific business problems and use cases including selecting appropriate algorithms, models, and technologies that aptly serve the problem statements
• Technical Leadership: Provide technical expertise and guidance to AI Data Scientists, ensuring alignment with coding standards, Industry standard algorithms, and architectural principles.
• System Architecture: Define the overall architecture of AI systems, including data pipelines, model training, inference engines, and integration with existing IT infrastructure.
• Model Development: Oversee the development and optimization of machine learning models, ensuring high performance, scalability, and interpretability.
• Technology Evaluation: Evaluate new AI technologies, tools, and frameworks to recommend the most suitable options for specific use cases and project requirements.
• Collaboration: Partner with Product managers to decide on fit for purpose model architectures that serve business use cases and contribute to the product road map development. The Architect will also effectively communicate with product managers and stakeholders, with a focus on simplifying complex modeling approaches in a manner understood by all.
• Collaboration Cross-functionally: Work closely with cross-functional teams, including subject matter experts, data scientists, data engineers, and software developers, to integrate AI capabilities into various applications and processes
• GenAI Solution Design: Utilize your expertise in GenAI frameworks to architect scalable, efficient, and high-performance AI solutions that leverage the latest advancements in the field.
• Machine Learning Operations (MLOps) and AI Ops Implementation: Implement MLOps and AI Ops practices to streamline the machine learning and LLM lifecycle, including version control, automation, CI/CD pipelines, and monitoring for AI models.
• Research & Development: Stay abreast of industry trends, emerging technologies, and research breakthroughs to continuously enhance the performance and capabilities of AI solutions.
• Performance and Cost Optimization: Optimize AI models for speed, accuracy, and efficiency through techniques such as hyperparameter tuning, model compression, and deployment optimizations. Bring in cost-effective solutions that are scalable and reliable. Develop mechanisms to monitor, optimize, and scale AI models in production environments, ensuring operational efficiency and reliability.
• Security & Compliance: Ensure that AI systems developed adhere to data protection regulations, security protocols, and ethical standards in AI development and deployment, collaborating with EAO, Security and Cloud Infra teams.

Benefits:

SES hires W2 benefitted and non-benefitted consultants. Our contract employee benefits include group medical dental vision life LT and ST disability insurance, 21 days of accrued paid time off, 401k, tuition reimbursement, performance bonuses, paid overtime, and more. Due to corporate regulations, we cannot work with outside companies on this opening; only direct, individual candidates representing themselves to SES, please.

About SES Systems Engineering Services Corporation:

SESC was founded in 1989, is a leading provider of technology solutions to Fortune 1000 companies and government organizations. Specializing in Accelerated Development (agile application development, mobile, systems integration, project and program management), Architecture (SOA, microservices, cloud), Data (analytics, DW, BI, big data), Testing (test architecture, manual, automation, data), Cyber Security (SSO, mobile, IAM) and DevOps (roadmap creation, assessments, CICD, tool evaluation, implementation), Employer is guided by a corporate mission to provide valuable solutions to our client s technology needs through responsive quality services.

I look forward to speaking with you soon!

Jake Lutman

Technical Recruiter

Systems Engineering Services

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