Build and prototype solutions leveraging tools such as OpenAI, Gemini, Claude, Cohere, Copilot, and emerging frameworks * Lead architecture across LLM orchestration, RAG pipelines, vector databases ...
Build and prototype solutions leveraging tools such as OpenAI, Gemini, Claude, Cohere, Copilot, and emerging frameworks * Lead architecture across LLM orchestration, RAG pipelines, vector databases ...
Cohere information
See Remote, OR salary details
$28.5K - $38.1K
11% of jobs
$44.9K is the 25th percentile. Wages below this are outliers.
$38.1K - $47.6K
20% of jobs
The median wage is $56.3K / yr.
$47.6K - $57.2K
21% of jobs
$57.2K - $66.8K
11% of jobs
$66.8K - $76.4K
9% of jobs
$80.1K is the 75th percentile. Wages above this are outliers.
$76.4K - $86K
10% of jobs
$86K - $95.5K
6% of jobs
$95.5K - $105.1K
4% of jobs
$105.1K - $114.7K
3% of jobs
$114.7K - $124.3K
4% of jobs
$124.3K - $133.9K
1% of jobs
$28.5K
$69.3K
$133.9K
How much do cohere jobs pay per year?
As of Aug 4, 2026, the average yearly pay for cohere in Remote, OR is $69,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $84,900.00 per year, depending on experience, location, and employer.
What is Cohere?
Cohere is actually not a traditional job title, but the name of a company specializing in artificial intelligence and natural language processing. Cohere provides large language models and AI tools to help businesses build advanced language features into their applications. Employees at Cohere work in roles such as machine learning engineers, research scientists, and product managers, focusing on developing and improving AI models and solutions. If you are interested in working at Cohere, it's important to understand their focus on cutting-edge AI technology and their mission to make AI accessible to all developers.
What are the key skills and qualifications needed to thrive as a machine learning engineer at Cohere?
To thrive as a Machine Learning Engineer at Cohere, you need strong expertise in machine learning algorithms, proficiency in programming languages like Python, and a solid educational background in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), experience using cloud platforms, and knowledge of NLP systems are typically required. Excellent problem-solving, communication, and collaboration skills help you work effectively within cross-functional teams and drive innovation. These skills ensure you can build, deploy, and optimize cutting-edge AI solutions that meet real-world business needs.
What are some common challenges faced by Cohere engineers when working with large-scale language models?
Engineers at Cohere often encounter challenges such as optimizing model performance while managing computational resources, ensuring data privacy, and maintaining model accuracy across diverse use cases. Collaboration between research and engineering teams is crucial to address these issues, as they work together to implement new algorithms and troubleshoot deployment issues. Additionally, keeping up with the rapid pace of advancements in natural language processing requires continuous learning and adaptation.
What is the difference between Cohere vs Content Writer?
| Aspect | Cohere | Content Writer |
|---|---|---|
| Required Credentials | Typically a background in linguistics, computer science, or related fields; familiarity with NLP and AI tools | Usually a degree in English, journalism, communications, or related fields |
| Work Environment | Tech companies, AI startups, remote or office-based roles focused on AI and NLP projects | Media companies, marketing agencies, freelance or in-house roles creating written content |
| Employer & Industry Usage | Used in AI, machine learning, and tech industries for developing language models | Used across publishing, marketing, advertising, and media industries for content creation |
While Cohere focuses on AI and NLP technology development, a Content Writer specializes in creating written content for various media. Both roles require strong language skills, but Cohere emphasizes technical expertise in AI, whereas Content Writers focus on storytelling and communication skills.
What are popular job titles related to Cohere jobs in Remote, OR? For Cohere jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Cohere jobs in Remote, OR look for? The top searched job categories for Cohere jobs in Remote, OR are:
Principal AI Strategist & Solution Architect (Myrtle Point)
Myrtle Point, OR • On-site
Full-time
This job post has expired today. Applications are no longer accepted.
Job description
About The Role
#J-18808-LjbffrAI Technology Partners (AITP) is a leader in delivering cutting‑edge generative AI solutions and managed services, specializing in secure, customizable AI deployments for enterprises. Our offerings are designed to help organizations unlock the full value of AI while maintaining robust security and compliance across their infrastructures.
AI Technology Partners (AITP) is seeking a Principal AI Strategist to serve as a senior leader at the forefront of enterprise AI transformation. This highly visible role reports directly to the CEO and Co‑Founder and plays a critical role in shaping client strategy, driving delivery excellence, and accelerating AI adoption across enterprise environments.
The ideal candidate brings a rare blend of executive presence, deep technical expertise in generative AI, hands‑on solution architecture experience, and a proven ability to lead client engagements from pre‑sales through delivery. This individual thrives in ambiguity, can translate complex business challenges into scalable AI solutions, and is energized by building, architecting, and delivering meaningful AI‑driven outcomes—without the hype.
What You’ll DoAct as a trusted advisor and senior engagement leader across client engagements, driving AI strategy, requirements analysis, and solution architecture. Partner closely with executive stakeholders to identify high‑impact opportunities, design enterprise‑grade AI solutions, and guide successful implementation and adoption.
Key Responsibilities Client Advisory & Executive Engagement- Serve as a senior, client‑facing leader and trusted advisor to C‑level and senior stakeholders
- Translate business objectives into clear AI strategies, roadmaps, and solution approaches
- Lead executive workshops, discovery sessions, and requirements analysis to define high‑value use cases
- Build deep, long‑term client relationships grounded in trust, value, and measurable outcomes
- Lead end‑to‑end solutioning efforts across pre‑sales and early delivery phases
- Drive structured requirements analysis, translating business needs into scalable technical architectures
- Design and architect tailored, enterprise‑grade AI solutions aligned to client goals, industry context, and constraints
- Partner on proposals, statements of work, and solution positioning
- Lead demos, proofs of concept (PoCs), and technical deep dives to accelerate decision‑making
- Identify expansion opportunities and help shape new offerings and go‑to‑market strategies
- Own the architecture vision across client engagements, ensuring alignment from concept through implementation
- Design enterprise‑grade generative AI solutions across cloud platforms
- Build and prototype solutions leveraging tools such as OpenAI, Gemini, Claude, Cohere, Copilot, and emerging frameworks
- Lead architecture across LLM orchestration, RAG pipelines, vector databases, APIs, and AI gateways
- Ensure solutions meet enterprise standards for security, scalability, governance, and compliance
- Provide hands‑on technical guidance and architectural oversight to engineering teams
- Act as the engagement lead, ensuring alignment across client stakeholders, delivery teams, and leadership
- Guide delivery teams through implementation while maintaining architectural integrity and business alignmentEstablish high‑level governance, milestones, and success metrics
- Support successful operationalization, adoption, and value realization
- Ensure client outcomes are achieved without owning day‑to‑day delivery execution
- Stay at the forefront of the rapidly evolving AI landscape and bring forward new capabilities
- Contribute to internal IP, frameworks, and repeatable solutions
- Mentor and elevate internal teams on AI strategy, architecture, and delivery best practices
- Represent AITP as a thought leader in client engagements and industry conversations
- 10–15+ years of experience in enterprise technology, consulting, or solution architecture roles
- Expert‑level usage of generative AI tools such as Claude, ChatGPT, Gemini, Copilot, and others
- Proven experience designing and building AI solutions, including PoCs, MVPs, and production systems
- Strong background in enterprise architecture, including cloud (Azure, AWS, GCP), security, networking, and integration patterns
- Demonstrated success in client‑facing roles with ownership of both pre‑sales and delivery
- Experience translating complex business requirements into scalable technical solutions
- Experience with RAG architectures, vector databases, prompt engineering, and LLMOps/MLOps practices
- Exceptional communication skills with the ability to engage both technical and non‑technical stakeholders
- Experience in AI transformation within enterprise or highly regulated industries
- Background in consulting or building practices within a startup or high‑growth environment
- Familiarity with agentic systems, orchestration frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen), and emerging AI patterns
- Experience working with enterprise platforms such as ServiceNow or similar ecosystems
- Technical certifications in cloud or AI platforms (Azure, AWS, GCP)
- Remote, US‑based candidates preferred. The role may involve working across multiple time zones.
- We offer a competitive and flexible compensation package aligned to experience, scope, and engagement model. This may include base salary, performance incentives, and equity participation, designed to reward meaningful contributions and impact.
- A highly collaborative, low‑bureaucracy environment
- Opportunity to shape the future of enterprise AI adoption
- Meaningful, high‑impact client work
- A culture grounded in learning, growth, and innovation
AI Technology Partners is committed to equal employment opportunity in all practices and reaffirms that there shall be no unlawful discrimination against any employee or applicant for employment on the grounds of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.