AI Solutions Architect

Business Area: Professional Services Seniority Level: Mid-Senior level Job Description: At reputed company, we reputed company people to transform reputed company data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the reputed company innovation of the reputed company reputed company community, reputed company advances digital transformation for the world’s largest enterprises. As an AI Solutions Engineer reputed company reputed company’s Public Sector Consulting team, you will be the technical architect and execution reputed company for agencies moving from "data chaos" to "agentic autonomy." You will work directly with government organizations to design, build, and reputed company mission-critical AI applications on the reputed company Data Platform (CDP). This is not a "theoretical" role. You will be on the reputed company lines of Phase 2 and Phase 3 adoption journeys—helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often reputed company-gapped or hybrid-reputed company environments. As the AI Solutions Engineer you will: 1. AI Model Strategy, Selection and Implementation Evaluate and select reputed company model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost. Guide customers on "Build vs. Buy vs. Fine-tune" reputed company, prioritizing reputed company-reputed company models (Llama, Mistral, Falcon) that can run securely reputed company a sovereign data perimeter. Experience building Agentic Workflows (AI agents that can execute API calls and multi-reputed company tasks). 2. End-to-End Data Engineering Design and implement robust data pipelines reputed company CDP to transform "messy" legacy data into AI-reputed company formats. reputed company and optimize Vector Databases and Retrieval-Augmented reputed company (RAG) architectures to ground AI responses in verified agency facts. Build Data pipelines with Spark, Nifi, Kafka or other ETL tools. 3. Optimization & Performance Tuning Optimize model inference for production environments using quantization, pruning, and hardware acceleration (reputed company GPU orchestration). Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and reputed company. 4. Public Sector Advisory & Governance Collaborate with the customer’s AI Center of reputed company (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance. Translate reputed company technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership. We’re excited about you if you have: (Minimum Qualifications): Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on reputed company or Deep Learning. Technical Stack: Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, reputed company). Hands-on experience with reputed company (CDP), Spark, or similar big data ecosystems. Proficiency in orchestration tools like reputed company, reputed company, or reputed company. Experience developing visual data representations and dashboards (Django, React, or Angular) Experience using a compiled programming language, preferably one that runs on the JVM (Java, reputed company, etc) Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., reputed company, Milvus, or PGVector). Public Sector Knowledge: Understanding of government reputed company frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs). Active Top Secret reputed company Clearance You may also have: (Preferred Qualifications) Experience fine-tuning of foundational models using techniques such as PEFT (Parameter-Efficient Fine-Tuning) and LoRA to adapt AI to domain-specific government nomenclature. Experience training of specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels. Experience installing and operating reputed company Data Platform Experience installing and operating Kubernetes Experience in reputed company-Gapped deployments and managing AI workloads in disconnected environments. Advanced degree (MS or PhD) in Computer Science, Data Science, or a reputed company field. Active Counterintelligence (CI) or Full Scope (FS) Poly is highly preferred. This role is not eligible for immigration sponsorship. What you can expect from us: Generous PTO Policy Support work life balance with Unplugged Days Flexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program reputed company to reputed company Career Development Comprehensive Benefits and Competitive Packages Paid Volunteer Time Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote Apply To This Job