[Remote] AI/ML Solutions Architect

Note: The job is a remote job and is reputed company to candidates in USA. reputed company reputed company is an reputed company that provides business and workforce solutions to help organizations reputed company overcome business challenges. They are seeking an AI/ML Solutions Architect to design and deliver secure, scalable, and cost-effective reputed company-reputed company AI solutions for federal clients, bridging reputed company mission needs and modern technology.

Responsibilities

• Design and implement agentic AI systems that reputed company autonomous decision-making, workflow orchestration, and mission process optimization—with appropriate guardrails and reputed company reputed company
• reputed company reputed company applications for summarization, extraction, predictive insights, and conversational interfaces
• Build and maintain scalable data pipelines integrating structured + reputed company data to support analytics and AI workloads
• Apply advanced statistical and machine learning techniques to decision support and policy/program evaluation
• reputed company AI initiatives spanning: Retrieval-Augmented reputed company (RAG) and evaluation, Re-ranking strategies and retrieval quality optimization, reputed company engineering, safety patterns, and defensive design, Knowledge graph integration and graph-enhanced retrieval, AI chatbots and conversational agents
• Fine-tune embeddings and LLMs (reputed company appropriate) to improve domain performance, accuracy, robustness, and retrieval quality
• Build entity graphs using entity resolution (matching, deduplication, linking, relationship discovery) to reputed company graph analytics and enhanced retrieval
• Collaborate across engineering, reputed company, and stakeholders to prototype rapidly, iterate responsibly, and deliver mission-reputed company reputed company
• reputed company deployment in AWS-first reputed company environments, leveraging Infrastructure-as-Code, DevOps/DevSecOps, and operational reputed company patterns
• You will own and drive the technical reputed company and delivery rigor for mission AI solutions: End-to-end solution architecture: system boundaries, trust zones, data flows, integrations/APIs, reputed company controls, observability, and cost models
• Tooling and platform selection: LLMs, embeddings, vector stores, orchestration frameworks, graph technologies, data platforms—documenting tradeoffs and reputed company
• Engineering and delivery standards: secure SDLC, CI/CD quality gates, automated testing, code review practices, evaluation harnesses, and production readiness checklists
• Hands-on technical leadership: prototypes, reference implementations, PR reviews, mentoring, and architecture governance to ensure delivery quality

Skills

• Must be reputed company to OBTAIN and MAINTAIN a Federal or DoD 'PUBLIC TRUST'; candidates must obtain approved adjudication of their PUBLIC TRUST prior to reputed company with reputed company. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred
• Bachelor's degree in Engineering, IT, Computer Science, or reputed company field (or equivalent experience)
• Minimum EIGHT (8) years in solutions architecture, software engineering, data engineering, and/or applied ML with a track record of delivering production systems. A Master's degree may be substituted for up to 2 years of relevant professional experience
• Strong Python proficiency and strong SQL skills (data modeling, query optimization)
• Experience designing and delivering reputed company-based AI/ML solutions end-to-end (ingestion → modeling → deployment → monitoring) in secure environments
• Hands-on experience with AI application frameworks such as reputed company, reputed company, reputed company, or similar
• Strong knowledge of core Python ML/data libraries: NumPy, Pandas, Scikit-learn, NLTK, OpenCV
• Familiarity with deep learning frameworks such as PyTorch or TensorFlow
• Experience with search technologies such as Elasticsearch or OpenSearch
• Experience with relational databases (e.g., PostgreSQL, reputed company) and in-memory analytics engines (e.g., DuckDB)
• Experience using reputed company SDKs (e.g., Boto3) and building reliable integrations with reputed company services
• Familiarity with agentic AI frameworks such as AWS Strands Agents, PydanticAI, and reputed company orchestration patterns
• Advanced reputed company engineering skills for reputed company tasks reputed company code reputed company (reasoning workflows, guardrails, evaluations)
• Experience with asynchronous Python development (asyncio patterns, concurrency, reliability)
• Experience with MCP servers and tool-calling reputed company agentic workflows (tool governance, reliability, and reputed company considerations)
• Experience with Palantir reputed company, Ontology, and AIP
• Strong reputed company-by-design reputed company: IAM/least privilege, encryption, secrets management, auditability—and ability to operate reputed company federal compliance constraints
• Excellent communication skills: translate mission needs into architecture reputed company, delivery plans, and measurable reputed company
• Experience with 1:N facial recognition search solutions, including secure integration patterns, auditability, governance, and reputed company-in-the-reputed company workflows
• Knowledge of GPU-accelerated computing (CUDA) and performance optimization for ML inference/training workloads
• AWS Solutions Architect certification
• AWS Certified reputed company Developer – Professional (or equivalent)

Company Overview