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Solutions Architect (EST or PST hours)

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Remote from
USA
Salary
USD 155k–240k / yr
Employment
Full Time
Experience
Open level
Published
Apply before
13 Nov 2026
Listing views
202
Application actions
8
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AI Summary

The role, at a glance.

Deepgram is hiring a customer-facing Solutions Architect (Applied Engineer) to lead technical implementations, migrations, and production deployments of its Voice AI platform. The role owns customer engagements from design through production cutover, including capacity planning, rollout sequencing, and technical escalation support. It also creates reusable reference architectures, playbooks, automation, and self-service tooling to reduce implementation time-to-value. Candidates need production engineering experience, strong customer communication, and proficiency in a modern programming language, with cloud, Kubernetes, API, and AI voice experience preferred.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior customer-facing engineering role requiring ownership of concurrent enterprise deployments and resolution of complex production issues. The rapid AI-focused environment and need to balance implementation, automation, pre-sales, and stakeholder management raise its complexity.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Highly competitive
$197,500
US market range (per year)$150k–$230k
AI insightThe employer discloses a credible annual base compensation range of $155,000–$240,000 USD, with a midpoint of $197,500 per year. For a US-based Solutions Architect focused on enterprise implementations, the estimated market range is approximately $150,000–$230,000 annually; actual compensation may vary with technical depth, customer-facing experience, location, and equity or incentive components.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe a complex enterprise implementation you led from technical design through production cutover.

I would explain the customer objectives and constraints, the architecture and rollout plan I created, how I aligned technical and business stakeholders, and the verification criteria used at cutover. I would quantify outcomes such as deployment time, reliability, adoption, or reduced operational effort.

How do you turn repeated customer implementation issues into scalable solutions?

I identify recurring root causes across engagements, document the common technical pattern, and prioritize reusable artifacts such as reference architectures, templates, automated checks, or self-service tooling. I validate the solution with pilot customers and incorporate feedback into the implementation playbook.

How would you approach capacity planning for a customer deploying real-time speech APIs at scale?

I would first gather expected concurrency, traffic patterns, latency requirements, audio characteristics, reliability targets, and growth projections. I would then define load-test scenarios, rollout stages, monitoring signals, fallback plans, and acceptance thresholds before validating the deployment under realistic peak conditions.

How do you communicate a complex technical risk to both engineering teams and nontechnical customer stakeholders?

I tailor the message to the audience: engineers receive the root cause, tradeoffs, and mitigation steps, while business stakeholders receive the customer impact, timeline, decision needed, and risk level. In both cases, I document ownership and provide clear next actions and status updates.

What role should AI tools play in your day-to-day work as a Solutions Architect?

AI tools can accelerate research, documentation, troubleshooting, code prototypes, and pattern discovery, but their output must be validated against customer requirements, security practices, and production evidence. I would use them to reduce repetitive work while maintaining technical judgment and accountability for final decisions.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

Company Overview

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.

Company Operating Rhythm

At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.

Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.

Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.

Note: This individual must be based in either Eastern or Pacific Time in the US. or willing to work during these time zone work hours

Opportunity
Deepgram is seeking a talented, support-focused Solutions Architect (Applied Engineer) to join our Applied Engineering (AppEng) team. In this role, you will directly engage with customers to solve complex technical challenges while simultaneously building scalable solutions that enhance our support infrastructure. You’ll own complete customer engagements in a post-sales capacity, and occasionally assist with pre-sales and implementation projects as needed. Your strong engineering background will enable you to resolve sophisticated technical issues, create repeatable solutions, and develop automation that allows the broader AppEng team to focus on high-impact pre-sales activities. This position offers an excellent path to grow into broader implementation and pre-sales roles while making an immediate impact on our customer support experience. As a key member of the Applied Engineering team, you’ll influence our customer support strategy, and play a crucial role in ensuring our customers receive exceptional technical assistance throughout their journey with Deepgram.

About Applied Engineering at Deepgram
The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey, from initial discovery and proof-of-concept, through implementation and onboarding, to ongoing technical support. We work closely with our Customer Success and Developer Experience (DX) teams to ensure a positive, growth-focused experience for our customers. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers. As a support-focused Applied Engineer, you’ll be primarily concerned with elevating our technical support capabilities while having opportunities to contribute to the broader Applied Engineering mission in pre-sales, implementation, and more.

What you’ll do

  • Own the technical design and delivery of customer implementations and migrations, from kickoff through production cutover

  • Lead deployment scaling work, including capacity planning, rollout sequencing, and verification methodology

  • Design solutions that fit each customer’s existing stack, constraints, and operational shape

  • Partner with Customer Success and Account Executives on customer-side change management, including readiness, stakeholder alignment, and rollout communication

  • Develop reusable implementation patterns, reference architectures, and deployment playbooks that the broader AppEng team and customers can reuse

  • Create automation and self-service tooling that compresses time-to-value for repeatable implementation work

  • Collaborate with product and engineering teams to advocate for customer needs and influence the roadmap based on patterns observed in active deployments

  • Provide support for the most complex post-onboarding cases when escalation crosses into Solutions Architect territory

  • Occasionally support pre-sales technical work, including discovery, scoping, and proof-of-concept design

Time allocation

  • 50% — Customer implementation and scaling engagements

  • 20% — Building reusable patterns, reference architectures, and automation

  • 15% — Pre-sales technical support, including discovery, demos, and proof-of-concepts

  • 10% — Documentation and knowledge sharing

  • 5% — Complex post-onboarding escalations and collaboration with Technical Support Engineers

Your first 90 days

  • First 30 days — Complete comprehensive onboarding to understand Deepgram’s technology, products, and the patterns we use for implementations. Gain proficiency with our core APIs and documentation. Shadow active implementation engagements to build familiarity with how the AppEng team operates during customer change phases.

  • 60 days — Begin owning customer implementation engagements end-to-end, leading technical design and partnering with Customer Success on rollout. Start contributing to reusable implementation patterns and reference architectures.

  • 90 days — Own the technical delivery of multiple concurrent customer implementations. Develop and deliver scalable solutions for repeatable customer change patterns. Begin contributing to the Applied Engineering team’s implementation methodology and mentoring newer team members.

You’ll love this role if you…

  • Enjoy seeing customer technical environments transformed through careful implementation work

  • Are passionate about reducing the time it takes any customer to reach production value with Deepgram

  • Find satisfaction in designing patterns that scale beyond a single customer engagement

  • Have a talent for identifying recurring needs across customers and translating them into reusable artifacts

  • Are energized by deploying cutting-edge Voice AI in production environments with real customers

  • See implementation work as a strategic function that drives customer growth and retention

It’s important to us that you have

  • 3+ years of experience implementing or deploying technical solutions for enterprise customers, ideally in customer-facing technical roles

  • Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript / TypeScript, Rust, C / C++, or similar languages

  • Experience leading technical delivery of production deployments, from design through cutover

  • Proven ability to scope complex technical work and sequence it for successful delivery

  • Excellent written and verbal communication skills with the ability to explain technical concepts clearly to engineering and business stakeholders alike

It would be great if you had

  • Experience with speech recognition, natural language processing, AI Voice agents, or related AI technologies

  • Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes

  • Experience with API-first products and developer tools

  • Background in change-management or implementation methodology

  • Experience producing reference architectures, deployment playbooks, or implementation templates

Notice: We’re aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you’ve received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

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