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Togaf Remote Jobs in Oregon (NOW HIRING)

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Experience with enterprise architecture frameworks such as TOGAF. * Experience leading AI ...

Togaf Remote information

What is the difference between Togaf Remote vs Cloud Architect?

AspectTogaf RemoteCloud Architect
CertificationsTOGAF certification often preferredCloud certifications like AWS, Azure, or Google Cloud
Work EnvironmentRemote, often consulting or enterprise architecture teamsRemote or on-site, focusing on cloud infrastructure design
Industry UsageEnterprise architecture, IT strategyCloud service providers, enterprise IT, SaaS companies

While both roles may work remotely and require technical expertise, Togaf Remote focuses on enterprise architecture frameworks, whereas Cloud Architects specialize in designing cloud infrastructure solutions. Understanding these differences helps in choosing the right career path or job search focus.

What is a TOGAF remote job?

TOGAF remote jobs are positions that require knowledge and application of The Open Group Architecture Framework (TOGAF) and can be performed from a remote location, rather than on-site. These roles typically involve developing, managing, or optimizing enterprise architecture frameworks for organizations, often as an enterprise architect, solution architect, or IT consultant. Working remotely in these positions requires strong communication skills, proficiency with collaboration tools, and the ability to work independently while ensuring alignment with business goals and IT strategies.

What are some common challenges faced by TOGAF professionals working remotely, and how can they be addressed?

TOGAF professionals working remotely often face challenges such as maintaining effective communication with stakeholders, ensuring alignment with enterprise architecture goals, and collaborating across distributed teams. To address these, it's important to leverage collaborative tools, establish regular virtual meetings, and document architectural decisions clearly. Staying proactive in communication and building relationships with team members can also help foster a cohesive remote work environment.

What are the key skills and qualifications needed to thrive as a TOGAF remote architect, and why are they important?

To thrive as a TOGAF Remote Architect, you need expertise in enterprise architecture frameworks, business process modeling, and a TOGAF certification. Familiarity with architecture modeling tools such as ArchiMate, Sparx Enterprise Architect, or IBM System Architect is typically required. Strong communication, analytical thinking, and collaboration skills are essential for working effectively with distributed teams and stakeholders. These competencies enable you to design aligned IT strategies, ensure stakeholder buy-in, and drive successful enterprise transformation in remote environments.

Lead AI Architect/Strategist

LTS

OR • Remote

Full-time

Posted 9 days ago


Job description

Location: United States - Remote
Clearance: Ability to obtain and maintain a Public Trust

LTS is seeking a Lead AI Architect / Strategist to define and lead the architecture, strategy, and implementation of next-generation AI solutions. This role will drive enterprise AI transformation by designing scalable AI platforms, enabling Generative AI capabilities, and guiding the adoption of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent agents, and advanced analytics solutions.

The ideal candidate is a strategic technology leader with deep expertise in AI architecture, cloud platforms, enterprise systems, and data transformation who can bridge business objectives with innovative technical solutions. This individual will work across engineering, data, product, cybersecurity, and leadership teams to establish AI roadmaps, architecture standards, and secure AI solutions that deliver measurable mission and business value.

What You'll Do

  • Define and execute AI architecture strategies, technical roadmaps, and modernization approaches aligned with organizational goals.
  • Design scalable AI platforms and solutions leveraging Generative AI, LLMs, RAG, AI agents, machine learning, and automation capabilities.
  • Architect intelligent AI systems that integrate models, data platforms, enterprise applications, and APIs.
  • Develop architecture patterns and best practices for: LLM-based applications, Agentic AI workflows, AI copilots and automation solutions, knowledge retrieval systems, data-driven decision support
  • Design and evaluate RAG architectures, including data ingestion, embeddings, vector search, retrieval strategies, and model orchestration.
  • Lead technical evaluations of emerging AI technologies, frameworks, and platforms.
  • Guide teams in implementing AI solutions from proof-of-concept through production deployment.
  • Establish AI governance practices supporting security, compliance, responsible AI, scalability, and operational excellence.
  • Collaborate with software engineers, data scientists, product teams, and enterprise architects to deliver AI-enabled solutions.
  • Provide technical leadership, mentorship, and guidance on AI architecture patterns and engineering best practices.
  • Communicate complex AI concepts and recommendations to technical teams, business stakeholders, and executive leadership.
  • Support innovation initiatives through prototypes, technical demonstrations, and AI transformation strategies.

What We're Looking For:

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or related technical field.
  • 10+ years of experience in software engineering, enterprise architecture, solution architecture, data architecture, or technology transformation.
  • 5+ years of experience designing and implementing AI/ML solutions, AI platforms, or intelligent automation solutions.
  • Strong experience architecting enterprise-scale technology solutions and distributed systems.
  • Proven experience with Generative AI, Large Language Models (LLMs), and AI application architectures.
  • Hands-on experience with AI concepts and technologies including Retrieval-Augmented Generation (RAG), AI Agents / Agentic AI, prompt engineering, vector databases and embeddings, model orchestration, AI governance and lifecycle management
  • Experience with cloud AI platforms such as: Azure OpenAI / Azure AI Services, AWS Bedrock, Google Vertex AI
  • Experience with modern AI frameworks and tools such as: Lang Chain, Lang Graph' Llama Index, Semantic Kernel, OpenAI frameworks
  • Strong programming experience with Python or other modern programming languages.
  • Experience with data architecture, APIs, data pipelines, and enterprise system integration.
  • Understanding of MLOps/LLMOps practices, including monitoring, evaluation, deployment, and governance.
  • Ability to communicate complex technical concepts effectively with both technical and non-technical audiences.

Nice to Have:

  • Experience supporting Federal Government, healthcare, or other highly regulated environments.
  • Experience designing secure AI solutions within enterprise environments.
  • Experience with Kubernetes, containerized applications, cloud-native architectures, and modern DevOps practices.
  • Experience with enterprise architecture frameworks such as TOGAF.
  • Experience leading AI transformation initiatives from strategy through implementation.

What's In It for You?

  • The Opportunity to support high-visibility federal missions
  • A culture that values innovation, growth, and collaboration
  • Access to cutting-edge tools and technologies
  • Comprehensive benefits for you and your family
  • A career path that rewards ambition and performance

If you're ready to push boundaries, sharpen your skills, and join a team that is passionate about building what's next, we'd love to meet you. Apply today and let's build a future together!