Future Secure AI

60 Future Secure Ai Jobs Hiring Near You

Future Secure AI builds AI Co-Workers that execute real operational work inside enterprise businesses. Our platform is technically complex, evolving fast, and being sold into some of the most ...

Why FSAI Future Secure AI is not another AI vendor-we're an enterprise AI partner who build cutting edge AI Co-Workers to support enterprise business. Backed by one of the world's largest financial ...

Future Secure AI builds AI Co-Workers that execute real operational work inside enterprise businesses. As the platform scales, the operating model has to scale with it. Today, high-value signals ...

Head of Talent Acquisition

Austin, TX

$103K - $141K/yr

About the Role Future Secure AI is looking for a strategic and experienced Head of Talent Acquisition to lead our North American hiring function as part of our People & Culture team. In this role ...

New

$111K - $134K/yr

About the Role As a Senior AI Engineer - Data Science , you will be a key technical leader within our advanced analytics and AI group. You will design, build, and deploy sophisticated machine ...

Site Reliability Engineer

Austin, TX

$56.50 - $75/hr

Own Kubernetesbased platforms used to deploy and run AI workloads * Build and maintain ... Partner closely with engineers to ensure systems are resilient, scalable, and secure * Operate ...

Head of IT

Austin, TX ยท On-site

About the Role We are a global AI company headquartered in Austin with 350 global FTE increasing to ... secure, and supported wherever they work. This role is intentionally hands-on to begin with. You'll ...

DevOps Engineer

Austin, TX ยท On-site

$52.25 - $71.50/hr

The role Design, build, and operate reliable production infrastructure supporting AI CoWorkers Own ... secure Operate across build, deploy, and operate phases of the software lifecycle Must have ...

... AI collaboration. This is a chance to be at the forefront of intelligent interactions and shape the future of work. Responsibilities * Model Development & Innovation: Evaluate machine learning models ...

You will sit at the intersection of research and engineering, translating cutting-edge AI and machine learning work into structured, deliverable programmes that reach enterprise clients at scale.

Your work will directly contribute to AI systems that have the potential to transform industries-and society. What You'll Do * Deploy machine learning models and LLM systems that drive meaningful ...

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Infographic showing various job openings at Future Secure Ai in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

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Future Secure AI

Austin, TX โ€ข On-site

Full-time

Posted 5 days ago


Job description

Job Summary:
Future Secure AI is a company focused on innovative AI solutions for global enterprises. They are seeking a Platform Architect to lead the development of their infrastructure platform, making key architectural decisions and mentoring platform engineers while collaborating with sales and delivery teams.
Responsibilities:
โ€ข Design and manage scalable, multi-account infrastructure on AWS/Azure, including VPC/VNet topology, routing, private networking, and secure ingress/egress.
โ€ข Lead the build and evolution of EKS/AKS clusters: lifecycle management, autoscaling (Karpenter/Cluster Autoscaler), upgrades, and rollout strategies (blue/green, canary).
โ€ข Architect and oversee reusable, versioned Terraform modules with strong testing, linting, and dependency management. Implement policy-as-code to enforce compliance and security guardrails.
โ€ข Design and build GitHub Actions / Argo CD pipelines for declarative, automated deployments. Integrate security, policy, and testing stages into every pipeline.
โ€ข Interface with security teams to Implement image signing, SBOMs, SAST/SCA, and container scanning. Manage identity and access through SSO/SCIM, least-privilege RBAC, and secrets lifecycle management.
โ€ข Improve observability and alerting using OpenTelemetry, Prometheus, and Grafana. Define SLOs/SLIs and automate incident detection and response.
โ€ข Design and extend automation in Go, Python, or TypeScript for infrastructure workflows, compliance checks, and operational tooling.
โ€ข Influence the platform roadmap, publishing ADRs and reference architectures to guide the engineering team.
โ€ข Mentor platform engineers through pairing, design reviews, and hands-on technical guidance.
โ€ข Collaborate with sales and delivery teams to translate client requirements into platform capabilities and align infrastructure with project timelines.
โ€ข Implement FinOps practices including capacity planning, utilization metrics, and right-sizing recommendations.
Qualifications:
Required:
โ€ข 6+ years in Platform Engineering, DevOps, or SRE roles with production ownership, including experience leading or mentoring engineers.
โ€ข Deep hands-on experience operating Kubernetes (EKS/AKS) and infrastructure via Terraform at scale.
โ€ข Strong cloud fundamentals: IAM, networking (VPCs, subnets, routing), DNS, TLS, and private connectivity.
โ€ข Proficiency with GitOps workflows (Argo CD, Flux) and CI/CD pipeline design.
โ€ข Proven background in observability, incident response, and operational resilience.
โ€ข Strong communication skills with the ability to collaborate across technical and non-technical teams. Ideal candidate would have experience in a client facing solutions engineer role.
โ€ข Solid Linux systems and automation foundation.
Preferred:
โ€ข Designing Terraform module registries or internal IaC frameworks.
โ€ข Organization-level AWS/Azure governance (Control Tower, Landing Zones).
โ€ข Infrastructure policy and compliance automation (OPA, HashiCorp Sentinel).
โ€ข Security tooling (Cloudflare, Artifactory, SonarQube, GitHub Advanced Security).
โ€ข FinOps and cost optimization across multi-cloud or hybrid workloads.
โ€ข Experience in regulated or enterprise environments.
Company:
As a global leader in the fast-growing market for enterprise transformation at industrial scale we have created a new model of enterprise technology delivery in the form of AI Co-Workers Founded in , the company is headquartered in , , with a team of 201-500 employees. The company is currently Growth Stage.