Accellor
via Workable
AI Application Architect
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 18h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 12d ago
The date the source published, not the day we noticed it (2026-09-03). Last seen at its source 1h ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$70–80/hr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 10d ago · last seen 1h ago
- salary $200k–225k/yr
The listing
Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. Our mission is to operationalize AI at scale and unlock sustained enterprise value.
With a proven track record of enabling Fortune 100 enterprises and global innovators, Accellor stands as a trusted partner for organizations seeking to harness the full potential of AI. Our vision is clear: to build intelligent, connected ecosystems that deliver measurable outcomes and redefine the future of enterprise transformation.
Accellor is seeking a Senior AI Solutions Engineer to design and build production-grade AI solutions for a leading global media and entertainment organization.
You’ll work on AI initiatives across areas such as Studio Operations, Rights Management, and Finance, taking solutions from concept through production. This is a hands-on role combining strong software engineering with practical experience implementing Glean, LLM-powered applications, RAG, and enterprise AI solutions.
What You’ll Do
- Design, build, and deploy production-grade enterprise AI solutions using Glean and Python.
- Configure, extend, and integrate Glean AI to create intelligent enterprise search, knowledge discovery, and AI-powered experiences.
- Build LLM-powered applications using prompt engineering, model integrations, tool calling, and AI workflows.
- Design and implement RAG solutions using embeddings, vector search, retrieval, knowledge grounding, and evaluation.
- Connect Glean and AI applications with enterprise platforms, external APIs, databases, and knowledge sources.
- Build scalable backend services, APIs, data models, connectors, and application integrations.
- Develop agentic AI workflows using tools such as MCP and multi-agent patterns where appropriate.
- Partner directly with business and technical stakeholders to understand use cases, translate ambiguous requirements, and design practical AI solutions.
- Apply strong engineering practices around testing, security, observability, scalability, and performance.
Requirements
- 5+ years of professional software engineering, solutions engineering, or AI application development experience.
- Hands-on experience implementing, configuring, integrating, or developing solutions with Glean AI.
- Strong hands-on Python development experience.
- Experience developing production applications using LLMs and generative AI.
- Experience designing and implementing RAG architectures, enterprise search, vector search, embeddings, and knowledge retrieval.
- Experience integrating AI solutions with APIs, databases, enterprise applications, and knowledge sources.
- Understanding of agentic AI concepts, including tool calling, MCP, and multi-agent workflows.
- Strong software engineering fundamentals, including APIs, testing, security, scalability, and production support.
- Strong communication and problem-solving skills with the ability to work directly with business and technical stakeholders.
Benefits
At Accellor, we believe in equitable compensation. The salary for this position is $200,000-225,000. The actual pay will depend on your skills, experience, and qualifications. The salary range is subject to change. Speak with your recruiter about any questions.