Richmond, VA

Salary
$140,000–$200,000from the description
Posted
Jun 30, 2026
Location
Richmond, VA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A consulting role focused on architecting end-to-end AI and machine learning solutions for enterprise clients across industries. Day-to-day work spans client advisory, solution design across major cloud platforms, technical oversight of AI/ML delivery from concept to production, and support for pre-sales efforts. Suited to a senior technologist with a decade or more of experience who is equally comfortable shaping AI strategy with stakeholders and providing hands-on architectural guidance to delivery teams.

Senior level · 10+ years · Richmond, VA · Full-time

Must have (6)
AWS, Azure or GCPDockerKubernetesLLMsRESTmicroservices
Nice to have (6)
LangChainvector databasesSparkKafkaDatabricksSnowflake

“or” means any one of them counts — you don't need all of them.

Posted 2 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 6 people in the Richmond, VA area plausibly meet what this posting asks for (computer occupations, all other). range 4–9

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What won't set you apart
Docker53%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $113,512 (middle half $83,793–$141,791). 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 (8)

The role is titled 'Solutions Architect – AI' with no explicit seniority level in the title, hence advertised seniority is Unspecified; however, the 10+ years requirement and scope (client advisory, pre-sales, governance) support a Senior classification.

SOC 15-1299 (Computer Occupations, All Other) is used because this is a consulting-focused AI Solutions Architect role that blends architecture design, AI/ML delivery oversight, and pre-sales — it does not map cleanly to a single developer or data-science code. 15-1252 (Software Developers) is the closest runner-up given the hands-on architecture and delivery responsibilities.

Degree requirement is set to None: the JD lists 'Bachelor's or Master's degree … or related field,' which is a preference range rather than a hard floor, and the phrasing does not explicitly exclude candidates with equivalent experience.

The posting states '#LI-Onsite', and the body notes employees must be available to work onsite at client locations or a CapTech office as requested, with remote work allowed only when compatible — treated as not fully remote.

CapTech is headquartered in Richmond, VA; no specific city is named in the posting, so Richmond is used as the CBSA. The role is client-facing and may involve travel to various client sites.

The preferred qualifications section explicitly lists LangChain, vector databases, prompt engineering, Spark, Kafka, Databricks, and Snowflake — all marked as preferred accordingly.

'Experience with Frontier AI models, local and open source models' and 'proficiency in multiple programming languages' are required but name no specific technology, so they are not emitted as discrete skills per extraction rules.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI/ML solution architecture.

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