Senior AI/ML Engineer
Engineering · Houston, TX (Hybrid) · Full-Time · $160,000 – $200,000
You will design, build, and deploy production-grade AI systems for Senteras's enterprise clients. This is a hands-on engineering role. You will own the full stack from model selection and fine-tuning through inference infrastructure and API delivery.
What you will do
- Design and implement LLM-based systems including RAG pipelines, agentic workflows, and fine-tuned models for enterprise clients
- Select, benchmark, and optimize open-source models (Llama, Mistral, Phi, Qwen) for client-specific use cases and hardware constraints
- Build and maintain inference infrastructure using vLLM, Ollama, or TGI on GPU-backed on-premise or private cloud environments
- Integrate AI systems with client data sources, APIs, ERPs, and document stores
- Develop evaluation frameworks to measure model performance, accuracy, and regression across deployments
- Collaborate directly with clients during technical discovery, delivery, and handover phases
What we need
- 5+ years of software engineering experience with at least 2 years focused on ML/LLM systems
- Deep hands-on experience with Python, PyTorch, and the Hugging Face ecosystem
- Production experience deploying and serving large language models at scale
- Strong understanding of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and embedding models
- Experience with Docker, Kubernetes, and GPU infrastructure provisioning
- Excellent written and verbal communication. You will present technical decisions to non-technical stakeholders
Nice to have
- Experience with fine-tuning workflows (LoRA, QLoRA, DPO, RLHF)
- Familiarity with LangChain, LlamaIndex, or similar agent frameworks
- Prior consulting or client-facing experience
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Enterprise AI Solutions Architect
Engineering · Houston, TX (Hybrid) · Full-Time · $175,000 – $215,000
You will be the technical authority in client engagements, translating complex enterprise requirements into concrete AI architectures, owning the solution design from discovery through delivery, and ensuring every system we build is robust, secure, and actually adopted.
What you will do
- Lead technical discovery sessions with enterprise clients to map current-state systems, data infrastructure, and AI readiness
- Design end-to-end AI solution architectures including data pipelines, model serving, security boundaries, and integration layers
- Produce detailed architecture documents, technical specifications, and implementation roadmaps for client review
- Own the technical relationship with senior client stakeholders (CTO, CISO, VP Engineering)
- Provide guidance to the delivery engineering team throughout implementation phases
- Evaluate build vs. buy decisions and advise clients on vendor selection for infrastructure and tooling
What we need
- 8+ years of engineering experience, with 3+ years in a solutions architect or principal engineer role
- Deep knowledge of enterprise AI/ML infrastructure including on-premise GPU deployments, private cloud, and hybrid architectures
- Strong understanding of enterprise security requirements: network isolation, access control, data governance, and compliance frameworks (SOC 2, HIPAA, FINRA)
- Experience designing systems for Fortune 500 or large-enterprise clients
- Exceptional communication skills, able to write crisp architecture proposals and present to C-suite audiences
- Proficiency with cloud platforms (AWS, Azure, GCP) and modern infrastructure tooling
Nice to have
- Background in a regulated industry (healthcare, financial services, legal)
- Experience with multi-model hybrid routing architectures
- MBA or executive education in technology management
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AI Engagement Manager
Client Delivery · Houston, TX (Hybrid) · Full-Time · $130,000 – $165,000
You will own the end-to-end delivery of Senteras's client engagements, from kickoff through go-live. You'll manage scope, timelines, and client relationships while keeping engineering teams focused and executives informed. This role sits at the intersection of technical delivery and strategic advisory.
What you will do
- Own project delivery for 3–5 concurrent enterprise AI engagements, managing timelines, budgets, and scope
- Serve as the primary day-to-day client contact, building trust and proactively surfacing risks before they become problems
- Facilitate discovery workshops, steering committee meetings, and executive readouts
- Translate technical progress into business language for client leadership teams
- Coordinate with engineering leads to maintain realistic delivery schedules and manage change requests
- Identify and develop expansion opportunities within existing client accounts
What we need
- 5+ years of project or engagement management experience in a consulting, professional services, or enterprise software environment
- Strong working knowledge of AI/ML concepts. You don't write code, but you can credibly discuss LLMs, data pipelines, and infrastructure trade-offs with engineers and clients
- Proven track record managing enterprise client relationships at the VP or C-suite level
- Experience with project management methodologies (Agile, Scrum, or structured consulting frameworks)
- Outstanding organizational skills with high tolerance for ambiguity in fast-moving engagements
- Bachelor's degree; PMP or equivalent certification preferred
Nice to have
- Experience at a management consulting firm (MBB, Big 4, or boutique tech consultancy)
- Industry expertise in manufacturing, financial services, or healthcare
- Familiarity with AI change management and enterprise adoption strategies
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LLM Infrastructure Engineer
Engineering · Houston, TX or Remote (US) · Full-Time · $145,000 – $185,000
You will specialize in the infrastructure layer that makes our AI systems run (GPU clusters, inference servers, networking, monitoring, and security hardening) ensuring that Senteras's on-premise and private cloud deployments operate at production reliability and performance standards.
What you will do
- Provision, configure, and optimize GPU infrastructure (NVIDIA A100/H100/RTX series) for LLM inference workloads
- Deploy and manage inference serving frameworks (vLLM, TGI, Triton) with custom performance tuning per client environment
- Implement network segmentation, TLS, access controls, and audit logging for air-gapped and private deployments
- Build monitoring, alerting, and observability stacks for model servers using Prometheus, Grafana, and custom metrics
- Automate deployment pipelines for model updates, rollbacks, and A/B testing across client environments
- Create runbooks and infrastructure documentation for client engineering teams during handover
What we need
- 4+ years of infrastructure or DevOps engineering experience
- Hands-on experience configuring and managing NVIDIA GPU servers and CUDA environments
- Production experience with container orchestration (Kubernetes, Docker Swarm) and infrastructure-as-code (Terraform, Ansible)
- Strong Linux systems administration skills including networking, storage, and security configuration
- Experience deploying or managing LLM serving infrastructure at production scale
- Familiarity with enterprise security requirements and hardening procedures
Nice to have
- Experience with NVIDIA NIM or Triton Inference Server
- Knowledge of RDMA networking and InfiniBand for multi-GPU setups
- Background in regulated industries with strict data residency requirements
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Enterprise AI Business Development Executive
Sales & Growth · Houston, TX (Hybrid) · Full-Time · $120,000 – $160,000 base + uncapped commission
You will build and close Senteras's enterprise pipeline, identifying high-fit opportunities, navigating complex procurement processes, and partnering with our solutions team to win meaningful engagements. You understand enterprise AI deeply enough to earn the trust of technical buyers, and you're skilled enough commercially to close six and seven-figure deals.
What you will do
- Develop and execute outbound prospecting strategies targeting enterprise buyers in Senteras's core verticals
- Manage a full sales cycle from initial discovery through proposal, negotiation, and contract close
- Partner closely with solutions architects on technical scoping calls to ensure proposals are credible and well-scoped
- Build and maintain relationships with CTO, CDO, and VP-level economic buyers at target accounts
- Represent Senteras at industry conferences, executive roundtables, and networking events
- Provide accurate pipeline forecasting and maintain CRM hygiene for leadership reporting
What we need
- 6+ years of B2B enterprise sales experience, with a track record of closing deals over $250K
- Strong understanding of AI/ML technology. You can hold a credible technical conversation with engineering leaders
- Experience selling complex professional services or technology solutions with long sales cycles
- Demonstrated ability to navigate multi-stakeholder enterprise procurement (legal, procurement, IT security, finance)
- Excellent written communication. You write compelling proposals and executive communications without heavy support
- Bachelor's degree required; MBA or technical degree a plus
Nice to have
- Prior experience selling AI, data, or cloud professional services
- Established network in Houston's energy, healthcare, or financial services sectors
- Familiarity with enterprise AI procurement objections around data security and compliance
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