$W_t := \alpha W_t^{(1)} + \beta W_t^{(2)}$. The covariance function of a Wiener process is $t \wedge s$ (and it is unique for gaussian processes). Thus we want to solve $$\Bbb E [W_t W_s] \overset{!}{=} t\wedge s$$ The left hand side can be transformed to $\alpha^2 (t\wedge s) + \beta^2 (t\wedge s)$. Thus $W_t$ is a Wiener process iff $\alpha^2 + \beta^2 = 1$