Agentic AI Developer
Cognizant · Richmond, VA
$98,000–$115,000from the description
Jul 6, 2026
Richmond, VA
Jul 21, 2026
What this job asks for AI summary
A software engineering role focused on building and deploying AI agents that handle autonomous reasoning, planning, and multi-step task execution at enterprise scale. The work centers on developing single- and multi-agent systems, RAG pipelines, and LLM-powered applications, then integrating them with enterprise platforms, APIs, and cloud services. Suited to engineers with hands-on production experience in generative AI and Python-based AI frameworks.
Mid level · 3+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 8 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 7,300 people nationally plausibly meet what this posting asks for (software developers). range 4,400–13,200
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The JD states '3–8 years' of experience; the overall years minimum is set to 3 (the lower bound of the range). The broad range and mid-level scope support a Mid seniority classification despite the upper end reaching 8 years.
Degree requirement is marked None: the JD lists 'Bachelor's or Master's degree' but does not explicitly state it is a hard gate with no experience substitute, and the phrasing is consistent with a preferred qualification in context.
The 'stand out' section (preferred skills) covers multi-agent orchestration, enterprise platform integrations (Databricks, Snowflake, Synapse, CRM/ERP, ServiceNow), workflow orchestration (Airflow/Prefect), Docker/Kubernetes, knowledge graphs, and industry experience in Insurance/Financial Services — all marked preferred.
ServiceNow, CRM systems, and ERP platforms appear in the preferred section but name no single canonical tool; they are omitted from the skills list as they are category descriptors rather than specific named technologies.
The role explicitly states it cannot offer visa transfer or sponsorship now or in the future.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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