Mobile Solution Architect Voice AI & Mobile

Experience: 10+ years overall (3+ years in mobile or voice AI)

Competency Track: Digital React Native
Engagement: Full-time; Onsite/Hybrid as per client need

Role Overview

Lead architecture and delivery for an enterprise-grade speech/voice platform spanning mobile (iOS/Android), edge containers, and cloud services. Drive PoCs, define the target state, and guide engineering squads on performance, security, privacy, cost, and operability.

Key Responsibilities

• Target Architecture: Define end-to-end architecture across mobile clients, edge containers, and cloud back end (e.g., Azure Cognitive Services); cover iOS Native STT, Android Native STT, authentication, observability/monitoring, and runtime topology.
• PoCs & Benchmarking: Plan and execute PoCs comparing STT/TTS engines for accuracy, latency, and cost (e.g., Native iOS/Android, Azure, Google, AWS, Whisper, Vosk). Produce WER/latency dashboards and recommendation papers.
• Wake Word & Audio Pipeline: Design wake-word detection and audio pipeline (noise suppression, end-pointing, streaming). Evaluate on-device DSP, beamforming, and VAD strategies.
• Domain Modeling: Implement custom vocabulary (e.g., product brands like Stihl , SKU/UPC patterns). Define data collection loops and training/retuning cycles.
• APIs & Streaming: Design low-latency streaming APIs (WebSocket/HTTP/2) for realtime transcription and TTS with backpressure, retries, and QoS controls.
• Security & Compliance: Map data flows to CCPA/GDPR; author threat models; set encryption strategy (data in transit/at rest), token lifecycles, data-retention and redaction policies.
• Platform & DevEx: Establish CI/CD for mobile and speech services using GitHub Actions/Azure DevOps; containerize services; define infra as code; codify SLAs/SLOs and error budgets.
• Operations: Produce run-books, on-call playbooks, and capacity/cost forecasts; hand off to Dev and SRE/Operations teams.
• Stakeholder Leadership: Partner with Product, Security, Legal, and Store Ops; present architecture decisions and trade-offs to senior leadership.

Essential Qualifications

• 8+ years in software/solution architecture with 3+ years in mobile or voice AI.
• Deep knowledge of at least one cloud speech stack: Native iOS/Android STT, Azure Cognitive Services, Google Speech, AWS Transcribe/Polly, Whisper.
• Hands-on React Native with native bridges (Swift/ObjC; Kotlin/Java) and performance tuning on device.
• Familiarity with on-device ASR/TTS frameworks (Whisper.cpp, Vosk, Mimic, TFLite) and model optimization (quantization, pruning).
• Proven design of lowlatency streaming services (WebSocket/HTTP2), including telemetry and tracing.
• Cloud scaling and cost optimization with containers/Kubernetes and IaC.
• Security & compliance expertise: OAuth2/OIDC, JWT, TLS, data retention, CCPA/GDPR.
• Audio DSP/noise reduction experience; wake-word/VAD/endpointing.
• Experience with enterprise mobility (e.g., Zebra Android devices) and MDM policies.
• Ability to design and interpret WER experiments; familiarity with dataset curation and metric design.

Desirable Qualifications

• Experience deploying speech workloads to edge locations (store/backoffice) with intermittent connectivity.
• Knowledge of beamforming, echo cancellation, and farfield mic arrays.
• Experience with cost modeling of STT/TTS at scale and token/compute budgeting for ondevice vs. cloud tradeoffs.
• Familiarity with observability stacks (OpenTelemetry, PrometheGrafana) and synthetic QoE testing.
• Prior retail domain experience (store operations, scan/lookup, SKU/UPC workflows).

Tooling & Technology Stack (Representative)

• Mobile: React Native, Swift/ObjC, Kotlin/Java, RN bridge modules, Zebra devices.
• Speech/ML: Azure Cognitive Services, Google Speech, AWS Transcribe/Polly, Whisper/Whisper.cpp, Vosk, TFLite, ONNX Runtime, KServe.
• APIs/Runtime: Node.js/Java/Kotlin services, gRPC/WebSocket/HTTP2, NGINX/Envoy, Redis/Kafka.
• Infra: Docker, Kubernetes (AKS/GKE/EKS), Helm, Terraform, GitHub Actions, Azure DevOps.
• Security/Privacy: OAuth2/OIDC, JWT, mTLS, KMS/HSM, Vault, DLP/redaction.
• Observability: OpenTelemetry, Prometheus, Grafana, ELK, Azure Monitor.

Deliverables

• Target Architecture & Integration Diagrams (current future state)
• PoC benchmark reports (WER/latency/cost) with recommendations
• Threat model, data-flow diagrams, and encryption/keymanagement plan
• CI/CD pipelines, infra-as-code baselines, and environment promotion strategy
• Runbooks, SLAs/SLOs, capacity and cost forecasts; handover package to Dev/SRE

Soft Skills

• Excellent stakeholder communication; ability to influence without authority
• Pragmatic approach to build vs. buy; datadriven decision making
• Mentorship of developers and mobile engineers; champion of engineering best practices