Remote, full-time permanent consultant role (Boston, MA locality) requiring 3+ years in AI strategy or implementation consulting. Responsibilities include advising drug safety clients on AI adoption and governance, building validation/testing frameworks and monitoring dashboards (CSV/GxP compliance), leading implementations and training, and supporting customer success. Travel up to 50%; employer does not anticipate visa sponsorship.

Parexel is hiring a Senior Director to lead light-track delivery and AI automation (RPA, AI agents/assistants, citizen-developer enablement) in a remote capacity across the US and Canada. The role manages a portfolio of small-to-medium automation initiatives, establishes governance and reusable patterns, oversees UiPath-based RPA and agent development (e.g., Copilot Studio, PAIA), and leads multidisciplinary distributed teams. Required: bachelor’s degree, 12+ years in technology delivery/automation leadership, and at least 5 years leading multidisciplinary teams; experience in regulated/life-sciences environments is valued.

GitHub is hiring a Staff Software Engineer for the Enterprise AI Governance team (US remote). The role involves designing, prototyping, implementing, and operating highly available, secure backend services and APIs that provide enterprise controls for Copilot (policy enforcement, auditing, configuration management). Responsibilities include technical leadership, system design, CI/CD, on-call participation, collaboration with product and security teams, and driving operational excellence. Salary range listed: USD 140,400–372,300 per year.

Lead efforts to secure AI-driven and agentic systems, develop fraud-detection and analytics models (graph learning, anomaly/sequence detection, NLP embeddings), detect adversarial AI threats (deepfakes, voice cloning, impersonation), and operationalize AI security/governance frameworks (NIST AI RMF, ISO/IEC 42001, OWASP AIBOM). Requires 10+ years' experience and authorization to work in the United States. Remote role with no travel.

iFIT seeks a Director, Enterprise AI Enablement to co-chair AI governance, define technical standards and guardrails, build a community of business AI leaders, and deliver hands-on automations and integrations with enterprise systems. Requires 6+ years in a senior/lead engineering capacity, strong experience with agentic AI, RAG, multi-agent workflows, evaluation tooling, and proven ability to coach teams and measure business impact.

Cloudera seeks a senior/principal Forward Deployed AI Engineer to embed with customers, develop full-stack AI/ML applications and agentic systems, advise on enterprise AI architecture, codify repeatable solution patterns, and help move prototypes to production. Role expects 7+ years experience (including 2–4 years building ML or GenAI systems), occasional travel (up to ~20%), and experience with foundation models, RAG, LLMOps/MLOps, cloud platforms, and data infrastructure.

Cloudera seeks a mid-senior Forward Deployed AI Engineer to embed with customers, prototype and ship production-ready AI and agentic applications, and standardize solution patterns. The role requires 7+ years building and deploying production-grade systems (including 2–3 years with generative AI/agentic apps), expertise in foundation models, RAG, LLMOps/MLOps, and experience with cloud and AI infrastructure; occasional travel up to ~20% is expected.

Embed with strategic enterprise customers to design, prototype, and ship scalable AI/GenAI/agentic solutions on Cloudera. Responsibilities include building full‑stack ML applications, advising on enterprise AI architecture, codifying repeatable solution patterns, mentoring teams, and driving MLOps/LLMOps practices. Requires 7+ years experience; occasional travel up to ~20%. Role is not eligible for immigration support or relocation.

Chainguard seeks an early-career Security Engineer (United States - Remote) to operate and secure cloud platforms, IAM, and AI/ML infrastructure. Responsibilities include implementing access controls and identity policies, hardening and monitoring cloud systems, securing AI pipelines, scripting and automation, troubleshooting, and documenting runbooks; reports to the Director of Cyber Resiliency. Base salary $105,000–$123,000 USD.

Work on Dynamo's open-source GPU-accelerated inference stack, extending disaggregated serving across vLLM, SGLang, and TensorRT-LLM to support agentic inference (long-horizon reasoning, tool calling, stateful multi-turn execution). Responsibilities include inference-state management (KV/prefix caches, memory/storage hierarchies), building distributed frontends, optimizing throughput and latency, and contributing to upstream API compatibility. Requires 10+ years' experience, strong Rust and Python skills, and expertise in LLM inference and GPU optimization.

Responsible for architecting agentic workflow frameworks, shared services (memory, guardrails, vector search), SDKs/CLIs, and operational tooling (Helm charts, operators, CRDs) to enable multi-tenant GenAI applications. Requires senior experience building production AI/ML platforms, working across engineering and research teams, and mentoring other engineers; Capital One may sponsor employment authorization.

Join the Growth Foundations Group to build and ship agent orchestrations, automated workflows, and system integrations that power paid growth, lifecycle, organic, CRO, incentives, referrals, and creative pipelines. The role requires 3+ years building automation workflows or agentic systems, strong API integration skills, experience with LLM APIs and prompt engineering, and domain familiarity with growth/marketing.

Work as the second builder on an AI-native growth engine to implement agent orchestrations, integrations with execution and analytics platforms, monitoring/audit logging, and content generation pipelines. Requires 3+ years building automation workflows or agentic systems, experience with LLM APIs, prompt engineering, and strong API integration skills; growth/marketing context is expected.

Placer.ai is hiring a Senior AI Platform Engineer to build the company’s internal AI agentic and context layer — designing and shipping agents, MCP servers/connectors, OAuth/credential infrastructure, Databricks-based internal BI, and related platform tooling. The role reports to the COO, requires 8+ years of backend engineering experience, and emphasizes production-focused integrations, security/compliance, and cost/compute optimization. Location: United States (remote). Salary range provided: $180,000–$200,000 USD/year.

NVIDIA seeks a Security Research Engineer to develop validation and patching methods that confirm vulnerabilities are real, reachable, and safely fixed for internal targets. The role requires 12+ years of security research or software engineering experience and hands-on expertise in vulnerability research, fuzzing, program analysis, and secure development in C/C++/Python. Candidates should be able to produce traceable evidence and standards for correctness, regression avoidance, and revalidation.

Work on product security, content safety, ML fairness, and robustness for LLMs and multimodal models. Responsibilities include developing datasets and models, researching and implementing bias detection/mitigation, defining safety metrics, and contributing to MLOps and safety tooling. Requires a Master's/PhD or equivalent, at least 2 years' production ML experience, and hands-on Python experience with frameworks such as PyTorch or Keras.

NVIDIA is hiring a Senior Deep Learning Scientist to develop, train, fine-tune, and deploy large language and multimodal agentic models (audio-visual, voice chat, tool use). Responsibilities include advancing post-training and alignment methods (instruction tuning, preference optimization, RLHF/RLVR/MOPD), agentic reasoning and planning, dataset collection and benchmarking, and scaling models on distributed infrastructure. Qualifications include a Master’s/PhD (or equivalent) and 8+ years relevant experience, strong Python and PyTorch skills, foundation model and RL knowledge, and hands-on multimodal/post-training experience.

Twilio seeks a Sr. AI Architect to set long-term AI/ML architectural vision, own the ML/AI Ops platform roadmap, and transition research into production-grade conversational AI systems (LLMs, RAG, embeddings, vector stores, agentic AI). Role requires deep experience in ML/Ops and LLM Ops, cloud services (AWS/GCP/Azure), and at least 15 years in software engineering (6+ years on production ML platforms). Remote within the United States; ~5% travel anticipated.

Capital One seeks a Distinguished AI Engineer to design, develop, test, deploy, and support foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. Role requires strong software and ML engineering skills (Python, Go/Scala/Java, PyTorch, Hugging Face, VectorDBs, cloud platforms) and experience optimizing training and inference for performance and cost. Qualifications include Bachelor's +8 years or Master's +6 years; visa sponsorship may be considered. Salary ranges provided by location.

DigitalOcean seeks a Staff Engineer (Inference Optimizations) to lead benchmarking and performance work at the inference engine and GPU-kernel level. Responsibilities include attention-layer and kernel optimizations, memory/precision management, multi-node GPU parallelization, and deploying quantization techniques. Requires 5+ years in HPC or AI infrastructure and deep experience with NVIDIA/AMD GPUs, CUDA/ROCm, Triton/CUDA kernels. Compensation range $191,200–$239,000/year.