AI Engineer / AI Architect Full-time

Hello
I hope you’re doing well!!

My name is Anshul kumar and I’m a Talent Acquisition Lead, kindly go through the job description below and let me know your interest.
I apologize if the job is not of your interest, however I will highly appreciate if you can refer somebody suitable for this position.

If you are interested, kindly share with me your resume, Visa status and salary expectation.

Role: “AI Engineer / AI Architect“

Location: Baltimore, MD / San Ramon, CA (Onsite from Day 1)

Position: Fulltime

Visa- USC, GC, GC-EAD

Job Description:

Position 1: AI Engineer, Location-Baltimore, MD

Must Have Technical/Functional Skills:
• Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or JAX.
• Hands-on experience with Generative AI models, including Large Language Models (LLMs), diffusion models, or GANs.
• Proficiency with NLP techniques, transformers (e.g., BERT, GPT, T5), and multimodal AI models.
• Experience in prompt engineering, fine-tuning, and RLHF (Reinforcement Learning from Human Feedback).
• Familiarity with model deployment techniques using APIs, microservices, and containerization (Docker, Kubernetes).
• Knowledge of vector databases (e.g., Pinecone, FAISS, Milvus) and retrieval-augmented generation (RAG).
• Exposure to cloud platforms (AWS, Azure, GCP) and AI services like OpenAI, Anthropic, or Hugging Face.
• Understanding of ethical AI, bias mitigation, and responsible AI practices.
• Proficiency in working with large-scale datasets and applying data augmentation techniques.
• Familiarity with MLOps, model versioning, monitoring, and lifecycle management.

Experience Required
• Minimum 2 years of experience in developing AI/ML models, with at least 1 year focused on Generative AI.
• Hands-on experience in training, fine-tuning, and deploying generative models in production environments.
• Exposure to working with pre-trained foundation models and customizing them for business applications.
• Experience in integrating AI models into software applications and APIs.
• Experience with cloud-based AI/ML services and deployment architectures.

Roles & Responsibilities:
• Design, build, and fine-tune Generative AI models for real-world applications.
• Work with LLMs and other generative architectures to develop intelligent solutions for text, image, and multimodal tasks.
• Optimize AI models for efficiency, performance, and scalability in production environments.
• Develop AI-powered applications using Retrieval-Augmented Generation (RAG) and vector search.
• Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders.
• Ensure AI models align with ethical AI guidelines, bias detection, and regulatory compliance.
• Stay updated with the latest advancements in Generative AI and integrate innovative approaches into projects.
• Implement MLOps best practices to automate AI model deployment and monitoring.
• Document model development, performance bench marks, and best practices.

Generic Managerial Skills
• Strong problem-solving and critical-thinking abilities.
• Effective communication skills to explain AI concepts to technical and non-technical stakeholders.
• Ability to work independently while collaborating with diverse teams.
• Adaptability to emerging AI technologies and willingness to experiment with new approaches.
• Strong time management and project management skills.
• Attention to detail and commitment to delivering high-quality AI

Position 1: AI Architect, Location- San Ramon, CA

Must Have Technical/Functional Skills Technical Expertise:
• Proficiency in AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers.
• Experience with Generative AI technologies and large language models (e.g., GPT-4, BERT, DALL-E).
• Expertise in cloud-native AI services:

o Azure: Azure Machine Learning, Cognitive Services, OpenAI Service

o AWS: SageMaker, Bedrock, Rekognition

o Google Cloud: Vertex AI, AutoML, Generative AI Studio
• Hands-on experience with MLOps practices, including CI/CD for model deployment, model monitoring, and retraining.
• Knowledge of utility-specific protocols, systems, and data types (e.g., SCADA, AMI, GIS).

Soft Skills
• Strong problem-solving skills, with the ability to translate business challenges into AI solutions.
• Excellent communication and stakeholder management skills, with the ability to present technical concepts to non-technical audiences.

Certifications
• Relevant certifications in AI/ML and cloud platforms:

o Azure AI Engineer Associate

o AWS Certified Machine Learning Specialty

o Google Professional Machine Learning Engineer
• Certifications in Generative AI tools (e.g., OpenAI or Hugging Face) are a plus.

Preferred Skills:
• Knowledge of emerging trends in the utilities industry, such as energy transition, smart grids, and renewable energy integration.
• Experience with AI/ML applications in IoT and edge computing for utilities.
• Familiarity with AI frameworks for sustainability and carbon footprint reduction.

Experience Required • 8+ years in AI/ML architecture, with at least 5 years focused on Power & Utilities.
• Proven track record of deploying AI solutions at scale in enterprise environments.

Roles & Responsibilities AI/ML Strategy & Architecture
• Define and implement end-to-end AI/ML architectures, including model development, deployment, and monitoring, to solve business challenges in utilities (e.g., energy forecasting, predictive maintenance, and grid optimization).
• Architect and deploy Generative AI (Gen AI) solutions for applications.
• Design scalable AI/ML pipelines leveraging cloud-native platforms and open-source frameworks.

Industry-Specific AI Solutions

Develop AI-powered solutions for utility-specific use cases, such as:
• D emand Response: AI models for real-time energy demand prediction and load balancing.
• Asset Performance: Predictive maintenance models for critical infrastructure like transformers, power lines, and turbines.
• Customer Engagement: Personalization and sentiment analysis using AI to enhance customer experience and retention.
• Energy Transition: AI-driven insights for integrating renewable energy sources, managing distributed energy resources (DERs), and optimizing carbon reduction strategies.

Generative AI Expertise
• Implement Generative AI use cases, such as intelligent document processing, report generation, and scenario simulation using technologies like OpenAI, Hugging Face, Anthropic, and cloud-native Gen AI services.
• Enable conversational AI capabilities with tools like Azure OpenAI Service, Google Vertex AI, AWS Bedrock, and ChatGPT API.

Platform Expertise
• Leverage major AI/ML and data platforms, including Azure Machine Learning, AWS SageMaker, Google Vertex AI, and Databricks ML.
• Integrate AI models with existing utility systems (e.g., SCADA, OMS, DERMS) to deliver actionable insights.

AI Governance & Ethics
• Establish AI governance frameworks to ensure ethical use of AI, explainability, bias mitigation, and compliance with industry regulations (e.g., NERC CIP, FERC).
• Promote the responsible use of Gen AI technologies in enterprise applications.

Collaboration & Leadership
• Partner with business stakeholders, data scientists, and engineers to design AI strategies aligned with utility goals.
• Provide technical leadership to cross-functional teams and mentor junior architects and engineers.

Generic Managerial Skills Soft Skills:
• Strong communication and stakeholder management skills.
• Ability to translate complex technical solutions into business value for utility leaders.
• Support pre-sales activities including engaging prospects, conducting discovery workshops, developing point of views/solutions/scoping, writing proposals, engaging partners, and supporting sales and marketing enablement.
• Provide advisory services to existing and new customers on AI/Gen AI Strategy and Consulting
• Must be able to communicate with CTO and CXO level audience by demonstrating expertise in managing large AI Transformation programs

Regards,

Anshul kumar | Talent Acquisition Lead

Desk: +1 469-378-5785, Ext. 409

Email: anshul.k@centraprise.com