Role Description Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI. - 5+ years of professional software development experience, with strong proficiency in Python, and applying software engineering and design principles (OOP, functional programming, design patterns, testing frameworks, CI/CD fundamentals). - Deep understanding of cloud-based data platforms (Azure, Databricks etc.), including cluster configuration, Spark optimization techniques and best practices. - Strong understanding of distributed data processing systems (Spark, Delta tables, cloud storage layers) with hands-on experience in building data pipelines, optimizing performance, and handling large-scale datasets. - Exposure to DevOps and engineering hygiene practices such as containerization (Docker), infrastructure-as-code, CI/CD pipelines, and automated testing for workflows. - Proven ability to work effectively in cross-functional teams (DS, DE, Cloud Ops, Product) with a proactive, inquisitive, and go-getter mindset. - Ability to translate ambiguous business or analytical requirements into scalable technical solutions, with solid grounding in code quality, reliability, observability, and engineering best practices. Qualifications - Experience in operationalizing and deploying machine learning models using production-grade MLOps frameworks (MLflow, AzureML, Databricks Model Serving), with a strong understanding of model lifecycle management such as versioning, lineage, monitoring, retraining workflows, and deployment automation. - Familiarity with modern data and ML architecture patterns such as feature stores, vector stores, low-latency inference pipelines. Requirements - Significant career development opportunities exist as the company grows. - The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Benefits - Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

• Define and lead the enterprise AI architecture strategy, ensuring scalable, secure, and compliant adoption of generative AI and advanced analytics across the organization. • Design and maintain reference architectures, standards, and patterns for AI solutions, including LLM-enabled applications and platform integrations. • Provide architectural leadership for AI platforms built on Amazon Web Services (AWS), including the use of managed services such as Amazon Bedrock. • Lead the evaluation, selection, and integration of leading large language models and AI services, including Anthropic, OpenAI, and Microsoft Copilot, ensuring appropriate use and performance. • Partner with business, product, and technology leaders to identify, prioritize, and design high-value AI use cases aligned to strategic objectives. • Establish and enforce AI governance frameworks, including policies, controls, and guardrails related to data usage, model risk, compliance, and responsible AI practices. • Define and oversee AI cybersecurity architecture, addressing risks such as data leakage, prompt injection, model misuse, and emerging AI threat vectors. • Provide architectural guidance for the development and integration of AI-enabled applications, ensuring solutions are production-ready, scalable, and maintainable. • Enable AI lifecycle management practices, including experimentation, deployment, monitoring, optimization, and retirement of AI solutions. • Collaborate with data, application development, security, legal, and compliance teams to ensure AI solutions align with enterprise standards, regulatory requirements, and risk management expectations.

Role Description As an AI Engineer Intern, you'll work directly with business stakeholders, scientists, and engineers to design and ship AI-powered tools that improve how we operate, communicate, and make decisions across the mining and processing business unit. This is not a research role. You'll be building things that go into production and get used by real people on real projects. If you've shipped something with LLMs, agents, or data pipelines and you're curious about what those tools look like when applied to hard physical-world problems, this role was designed for you. Key Responsibilities - Design and build LLM-powered agents that automate and augment business workflows, ranging from document handling and stakeholder communication to operational Q&A and data retrieval. - Develop conversational interfaces over structured and unstructured data, enabling non-technical users to query operational and business data in plain English. - Integrate external data sources (commodity markets, regulatory filings, industry benchmarks) into internal tools and reporting workflows. - Collaborate with SMEs (engineers, metallurgists, and project managers) to translate domain knowledge into agent behavior, prompts, and retrieval pipelines. - Contribute to a shared Python codebase, including object-oriented modules for process modeling and data transformation. - Participate in sprint reviews and stakeholder demos, iterating rapidly based on feedback from end users. Qualifications - Currently enrolled in an MS program in Computer Science, Data Science, Software Engineering, Applied Mathematics, or a related field. - Demonstrated experience shipping an AI product such as agentic assistant or a RAG — portfolio, GitHub, or prior internship evidence required. - Proficiency in Python, including working with APIs, data structures, and third-party libraries. - Hands-on experience with at least one LLM framework or toolchain (e.g., LangChain, LlamaIndex, OpenAI/Anthropic APIs, Haystack). - Comfort working with structured data (SQL or Pandas) and unstructured data (PDFs, text corpora). - Strength in software engineering best practices. - Strong written communication: you'll be writing prompts, specs, and documentation alongside code. Requirements - Currently working on a PhD in Computer Science, AI, Data Science, Software Engineering, or similar. - Experience with retrieval-augmented generation (RAG), vector databases (Pinecone, Weaviate, ChromaDB), or embedding pipelines. - Familiarity with industrial, scientific, or time-series data (SCADA, historians, lab reports, assay data). - Background or coursework in a physical science or engineering discipline (e.g. mining, metallurgy, chemical engineering, geology, or similar). - Experience building multi-step or tool-using agents. - Exposure to BI tools or data visualization (PowerBI, Streamlit). - Experience in one or more of the following roles: Python Developer, DevOps Engineer, Data Warehouse Specialist/Data Engineer/Data Architect. - Prior internship or project work in an industrial, energy, or materials company. Physical Demands The work environment will be a mix of a typical office environment, a manufacturing floor, and a construction site. Noise level: Normal office, manufacturing, and construction noises. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Equal Employment Opportunity USA Rare Earth proudly supports Equal Employment Opportunities. USA Rare Earth's policy is to provide equal employment opportunities to all applicants and will provide reasonable accommodations according to applicable federal, state, and/or local laws. For assistance applying for employment through this site due to disability, please contact People & Culture, people@usare.com , to discuss reasonable accommodations.

Description About TEKsystems and TEKsystems Global Services: We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers—including 80% of the Fortune 500— across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success. Ready to join us? Here’s what the opportunity supported through our TGS Talent Acquisition Team requires: We are looking for a highly experienced Lead AI Engineer with expert-level proficiency in Python and machine learning to guide our AI initiatives and mentor a talented engineering team. As a technical leader, you will architect and oversee the development of innovative AI solutions, ensuring best practices and high standards across all projects. Key Responsibilities ● Architect, design, and lead the development of advanced machine learning models and AI systems using Python. ● Provide technical leadership and mentorship to a team of AI/ML engineers and data scientists. ● Oversee end-to-end project lifecycles: from data collection and preprocessing, through model development, to deployment and monitoring. ● Collaborate with product managers, business stakeholders, and engineering teams to define AI strategy and translate business objectives into technical solutions. ● Establish and enforce best practices for coding, model validation, versioning, and reproducibility. ● Review code, provide constructive feedback, and ensure high-quality deliverables. ● Stay abreast of the latest research and advancements in AI/ML, and drive the adoption of new technologies and methodologies. ● Present technical concepts and project progress to both technical and non-technical audiences. Required Skills & Qualifications ● 5+ years of experience in AI/ML engineering, with at least 2 years in a technical leadership or lead role. ● Expert-level Python programming skills and deep familiarity with ML libraries (NumPy, pandas, scikit-learn, TensorFlow, LangChain, PyTorch, etc.). ● Demonstrated experience architecting and deploying production-grade machine learning systems. ● Strong understanding of data engineering, feature engineering, and big data tools. ● Experience with cloud platforms (GCP preferred), containerization (Docker, Kubernetes), and MLOps practices. ● Excellent communication, leadership, and team management skills. ● Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Nice to Have ● Experience with NLP, computer vision, or generative AI models. ● Familiarity with CI/CD pipelines and infrastructure automation for ML projects. ● Knowledge of Agentic frameworks, and some experience building agents from scratch for enterprise use cases. ● Contributions to open-source AI/ML projects or published research. Why Join TEKsystems? ● Work with a passionate team making a real impact in multiple industries, whether it be retail, banking, government, pharma, energy or agriculture. ● Grow your skills through ongoing training and development. ● Thrive in a dynamic, inclusive, and innovative environment. ● Be part of the TEKsystems Global Services success story-there’s never been a more exciting time to join us. ● Opportunity to collaborate with Google Experts for projects and ideation. ● Access to ongoing professional development and leadership opportunities. Skills Architecture, Cloud, google cloud, Design, Development, Professional services, artificial intelligence, machine learning, Gcp, Artificial intelligence software, docker, kubernetes Top Skills Details Architecture,Cloud,google cloud,Design,Development,Professional services,artificial intelligence,machine learning,Gcp,Artificial intelligence software Additional Skills & Qualifications Design and implementation- open source scale framework and features and lead architecture 5 years of experience Gen AI work Experience Level Intermediate Level Job Type & LocationThis is a Permanent position based out of Baltimore, MD. Pay and BenefitsThe pay range for this position is $133100.00 - $199700.00/yr. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Our full-time, internal employment benefits include the following: • Medical, Dental, and Vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life and AD&D for employee and dependents) • Short and Long-Term Disability • Health Spending Account (HSA) • Transportation Benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace TypeThis is a fully remote position. Application DeadlineThis position is anticipated to close on Mar 30, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.