Senior Sales Engineer (AI, Life Sciences)

Location: Boston, Massachusetts; hybrid designation (#LI-Hybrid). Willingness to travel up to 50% is required.

Company

hirify.global develops open-source and enterprise AI platforms that combine predictive, generative, and agentic AI for private-data applications.

What you will do

• Partner with Sales to lead technical discovery, identify customer needs, design solutions, and develop proposals.
• Execute proof-of-value projects that demonstrate production ROI, measurable accuracy gains, and cost efficiency.
• Build and present tailored AI, ML, and Generative AI solutions for enterprise industries including healthcare and life sciences.
• Design LLM solutions involving fine-tuning, evaluations, RAG, agentic pipelines, and multi-agent workflows.
• Create reference architectures and deployment strategies across AWS, Azure, GCP, hybrid, and on-premises environments.
• Guide customers on MLOps, Kubernetes, CI/CD, monitoring, governance, and production readiness while contributing to product strategy and reusable solution assets.

Requirements

• 5+ years of experience in pre-sales, sales engineering, or solution architecture for enterprise AI/ML platforms.
• Hands-on expertise in Generative AI, machine learning, LLM fine-tuning, evaluations, pipelines, and predictive ML algorithms.
• Experience with cloud-native deployments on AWS, Azure, or GCP, as well as Kubernetes and enterprise integrations.
• Strong technical storytelling, presentation, and communication skills with technical teams and C-level executives.
• Willingness to travel up to 50% to support strategic accounts.

Nice to have

• Experience with hirify.global products or comparable enterprise AI/ML platforms.
• Experience running POCs, pilots, and executive workshops.
• Knowledge of enterprise AI security, compliance, and governance.
• Thought leadership through talks, blogs, or open-source contributions.
• Industry expertise in BFSI, telecommunications, public sector, manufacturing, or retail.

Culture & Benefits

• Remote-friendly culture and flexible working environment.
• Market-leading total rewards.
• Career growth opportunities.
• Inclusive culture focused on diversity and responsible AI.